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DATA SCIENCE CERTIFICATION COURSE IN Gurgaon

Learn Data Science through online and classroom training in Gurgaon, with placements and an industry-backed certification.

6-8 Months

546 Hours

*TIH Partnerships via Edzor CAITE

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Courses Included

  • DS360
  • BA360

AI Engineering

500 Hours

56 Classes

  • Classroom
  • Online
  • eLearning
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  • DS360
  • BA360

Data Science using R

500 Hours

56 Classes

  • Classroom
  • Online
  • eLearning
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  • DS360
  • BA360

Data Science 360 Course

500 Hours

56 Classes

  • Classroom
  • Online
  • eLearning
View More

Artificial Intelligence Engineering

₹ 20000/-

Artificial Intelligence Engineering

₹ 20000/-

Artificial Intelligence Engineering

₹ 20000/-

₹ 65000/-
₹ 48000*/-

Optional Course

Data Science using R

₹ 20,000

₹ 4000/-

Course Fees

TIH at IIT Bombay | Patna
(Program fees starts from)
INR 70,800/-*
NASSCOM FSP
(Program fees starts from)
INR 53,100/-*

22June

Noida (Weekdays)

28 June

Gurgaon (Weekends)

09 July

Bangalore (Weekdays)

Learning Modes

Classroom Sessions

TIH at IIT Bombay | Patna
INR 87,320/-*
(Pay in Easy Installments)
NASSCOM FSP
INR 68,440/-*
(Pay in Easy Installments)

Interactive Live Online

TIH at IIT Bombay | Patna
INR 80,240/-*
(Pay in Easy Installments)
NASSCOM FSP
INR 59,000/-*
(Pay in Easy Installments)

Blended eLearning

TIH at IIT Bombay | Patna
INR 70,800/-*
(Pay in Easy Installments)
NASSCOM FSP
INR 53,100/-*
(Pay in Easy Installments)

Overview Of Data Science Course In Gurgaon

No of classes X Hours
65 x 3 = 195 hours
+ 20 hours e-learning

Self Study Hours
422 (8-10 hours/ week)
38 hours of Assessments

Placement Readiness Program
8 Weeks
(Post Certification)

This Data Science Certification Course offers an updated curriculum, professionally structured projects, and a blended flexible learning environment. Whether you are a novice or an experienced professional, our course does not require any prior knowledge or experience. Looking to start from scratch? AnalytixLabs is your best stop.

Why Learn Data Science?

More than 80% of India’s global capability centersfocus mostly on AI, machine learning, and data analytics. Infact, a recent survey shows that it surpassed the emphasis GCC puts on traditional tech capabilities at 78%.

India’s data science market is growing exponentially, with all major industries steadily adopting data science and analytics capabilities. This consequently has generated a huge demand for skilled data professionals, again influencing India’s data education market. Research shows that India’s data science market will reach a valuation of $1.39 billion by 2028, which isn’t a far-off future.

As India embraces data-driven decision-making across diverse industries, enrolling in a comprehensive data science certification course is the right move for a steady career in this field.

India’s data market is helmed by tier 1 cities like Gurgaon. Gurgaon’s strategic location and influx of tech and innovation have made this location a potential hub for data science. The proximity of Gurgaon to Delhi makes it an attractive place for professionals to work. It offers a strategic advantage for collaboration, resource access, and networking opportunities.

In addition, the Indian government’s initiatives to encourage Gurgaon’s IT and data sectors have offered a favorable learning environment for data science certification courses in Gurgaon. The growth of multiple small, mid-size, and large companies and frequent data meetups, events, and collaborations have made Gurgaon a prime location to learn data science.

Includes Placement Readiness Program (PRP): A 2-month post-certification, industry-focused module designed to enhance technical skills, communication, and problem-solving, featuring interview prep, practice tests, and simulated placement days for real-world experience and readiness.

Learn more about our Job Guarantee Program (Review Terms & Conditions):  https://www.analytixlabs.co.in/placements/

Data Science Certification Course Syllabus in Gurgaon

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Our data scientist course in Gurgaon is ideal for individuals with a programming background who want to gain practical, job-oriented skills on a prominent open-source data science platform.

The data science course curriculum introduces the fundamental building blocks of Data Science. This section covers essential concepts, foundations of data science, and basic programming elements. The course then delves into Data Visualization and Analytics, exploring data extraction, manipulation, analysis, reporting, and creating intuitive business dashboards using Excel, SQL, and PowerBi tools.

While taking our data science training in Gurgaon, you will engage in interactive exercises throughout the course. Using real-world business case studies, you will learn how to utilize R for Data Science, including working with databases, data import/export, analysis, and visualization.

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Data Visualization & Analytics

Building Blocks

  • Introduction to Analytics & Data Science
  • Introduction to Business Problem Solving
  • Basics of MS Excel
  • Introduction to Basic Statistics (Measures of central  tendency/variance/frequency/positions, Probability & distributions, Bayes Theorem etc.)
  • Introduction to Excel for Data Analysis
  • Data Formats in Excel
  • Sorting & Filtering
  • Excel Functions – Commonly Used Functions
  • Data Handling
  • Data Validation
  • Data summaries and reports using Pivot tables
  • Basic & Customized Charts in Excel
  • Creating Dynamic Dashboards in Excel
  • Basic RDBMS Concepts
  • Introduction to MS SQL Server
  • Overview of SQL Commands
  • Data based objects creation (DDL Commands)
  • Data manipulation (DML Commands) & DQL (Data Query)
  • Accessing data from Multiple Tables using SELECT
  • Advanced SQL (Advanced Joins, Subqueries, Window Functions, Views, CTEs, Stored Procedures etc.)
  • Introduction to PowerBI
  • Data Preparation and Modelling
  • Data Analysis Expressions (DAX)
  • Reports Development (Visuals in Power BI)
  • Data-Driven Story Reports
  • Creation of Dashboards
  • Advanced / Other Power BI Concepts
  • Power BI Analytics
  • Publishing workbooks and Workspace
  • Overview of Power BI Services

Python for Data Science

  • Introduction to Data Science
  • Essentials of Python Programming
  • Data Types & Operators
  • Data Structures
  • In-Built Functions & Methods
  • Conditional & Control Flow Statements
  • User Defined Functions, Classes
  • Exception Handling
  • Python Packages for Data Analytics
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing Data with Python 
  • Data Analysis using Python
  • Data Visualization using Python
  • Data Importing/Exporting
  • Data Manipulation
  • Data Analysis
  • Using R with databases
  • Data Visualization with R
  • Introduction to Statistics
  • Introduction to Predictive Modeling
  • Supervised Learning: Regression problems using OLS Regression
  • Supervised Learning: Classification problems using Logistic Regression
  • Introduction to Machine Learning
  • Supervised Learning: Regression problems
  • Supervised Learning: Classification problems
  • Unsupervised Learning – Segmentation
  • Time Series Forecasting
  • Statistics Fundamentals
  • Descriptive and Inferential statistics
  • Probability Distributions
  • Sampling & Statistical Inference
  •  Concept of standard error and central limit theorem
  •  Concept of Confidence Intervals
  •  Hypothesis Testing
  •  Statistical Methods – Z/t-tests (One sample, independent, paired), ANOVA, Correlation and Chi-square
  •  Introduction to Predictive Modeling
  • Steps for building a predictive Model
  • Solving Regression Problems using OLS Regression (Linear Regression)
  • Solving Classification problems using Logistic Regression

Predictive Modeling & Machine Learning

  • Quick Recap of Python Foundations
  • Getting Started with Machine Learning & Foundations of ML
  • Data Preparation for Machine Models
  • Supervised Learning
  • Supervised Learning – Regression and Its Applications
  • Supervised Learning – Classification and Its Applications
  • ML Algorithms (KNN, NB, SVM, ANN, Decision Trees & Ensemble Learning (Bagging, Random Forest, AdaBoost, Gradient Boost, XGboost etc..)
  • Unsupervised Learning (Clustering, Recommendation Systems)
  • Time Series Forecasting (Self Paced)
  •  Intro to Text Mining & NLP landscapes and use cases
  •  Reading Text data into python
  •  Text Handling using Regex
  •  Introduction to Python packages of Spacy, NLTK, Textblob
  •  Text Representation / Vectorization
  •  Word2Vec, Custom W2V in python using Gensim Library
  •  EDA and Text Classification
  •  Sentiment Analysis
  •  Text Segmentation
  •  Topic Mining – LDA

Model Implementation + Deployment + Cloud Computing

  • Foundations of MLOps( GIT, GitHub, JIRA, Cloud Computing)
  • Introduction to Flask & Application Development
  • Introduction to MLOps
  • Machine Learning Life Cycle
  • ML Engineering Pipeline
  • How to implement MLOps?
  • Understand end-to-end MLOps solution
  • Deployment of ML Model in the cloud
  • Ways of deployment of models
  • Creating simple app
  • Develop a prototype, deploy, monitor, and continuously improve a production-sized ML application.

Gen AI For Excel, SQL, Power BI & Python

  • Introduction to GenAI
  • Prompt Engineering concepts
  • Generative AI for MS Excel
  • Generative AI for Other tools like Google sheets, word etc.
  • Generative AI for SQL
  • Generative AI for Power BI
  • Generative AI for Python
  • Generative AI for ML using Python

Data Science Course Eligibility in Gurgaon

Our data science course in Gurgaon, which has certification and placement, has no specific requirements. It is designed to accommodate students with diverse educational and professional backgrounds. The only MUST-HAVE is an eagerness to explore the vast possibilities of data science.

It is an added bonus if you have:

  • Bachelor’s Degree: (Preferred in relevant fields like statistics, computer science, or mathematics) While not obligatory, having a bachelor’s degree in quantitative fields is a bonus, particularly for data science courses in Gurgaon university-level programs.

Additional requirements that can be an advantage for you while learning this course –

  • Basic Understanding of Statistics and Mathematics: A foundational understanding of statistics and mathematics is beneficial because most data science and analytics courses involve working with data.

  • Programming Skills: Basic proficiency in programming languages like Python or R is advantageous, as many data science tasks may require such skills.

Note: Our data science course in Gurgaon covers the basics of foundational programming, problem-solving, and data management for a lucrative data science career. If you have no prior knowledge or experience in the data field, you can learn the basics in our first set of learning sessions.

Data Science Job Roles You Can Explore Upon Course Completion

A Data Science career is highly promising for talented individuals. Pursuing a data science career is both financially rewarding and intellectually fulfilling.

  • Data Analyst
  • Data Scientist
  • Data Engineers
  • Data Architect
  • Database Administrator
  • Business Analyst
  • Machine Learning Engineer
  • Data and Analytics Manager

Data Science Skills and Tools You Will Learn

Our data science certification course does not require any prior knowledge to enroll. However, if you have basic know-how of programming languages like Python, R, and SQL, you will find it easier to proceed with the course materials.

Our curriculum is continuously updated to meet industry demands and market needs. Currently, the Data Science Certification Course will help you master the following skills and tools:

  • Python

    Python is a versatile programming language widely adopted for various applications, including web development, data analysis, and machine learning. Its simplicity, extensive libraries, and readability make it popular among developers and data scientists.

  • NumPy

    NumPy, or Numerical Python, is a versatile array processing package that utilizes the powerful features of N-dimensional arrays. It is a fundamental library in Python that fosters an efficient execution of a wide range of scientific computations. NumPy supports high-level logical and mathematical functions, linear algebra operations, advanced random number generation, Fourier transform capabilities, and manipulation of array shapes. Additionally, it seamlessly integrates with low-level languages such as C, C++, and Fortran.

  • Pandas

    Pandas, a Python library for data analysis, specializes in tasks such as data munging, cleaning, manipulation, and analysis. It empowers data scientists working with Big Data by providing efficient and adaptable data structures in tabular and multidimensional formats.

    Pandas accelerate data manipulation tasks by streamlining data wrangling processes and offering high-level abstractions. A wide range of features are available, with a user-friendly syntax designed to handle missing data effectively. One notable advantage of Pandas is its capability to create customized functions that can be applied to different data series.

  • SciPy

    SciPy, also known as Scientific Python, builds upon the functionality of NumPy and is extensively used in Big Data projects, particularly in scientific and technical computing.

    It provides a comprehensive set of pre-built commands and functions that facilitate various tasks such as handling differential equations, manipulating data, and visualizing results.

  • Matpolib

    Matplotlib, a Python library in Big Data, offers impressive visualization capabilities with 2D plotting graphics. It is a powerful tool for data scientists, enabling them to create various visualizations, such as bar charts, scatter plots, histograms, error charts, power spectra, and more.

    One of the key features of Matplotlib is its object-oriented API, which makes it easy to embed plots in applications. It utilizes GUIs like Tkinter and wxPython for this purpose. Matplotlib is known for its low memory consumption and efficient runtime, ensuring smooth performance.

    Another significant advantage of Matplotlib is that it is free to use, making it a viable alternative to MATdevwp. It is also compatible with various operating systems and output types, offering users flexibility.

  • SkLearn

    Sklearn, or Scikit-learn, is an extensive Python library with a comprehensive set of machine-learning tools. It provides a complete package for constructing and assessing various machine-learning algorithms.

    This feature-rich library is a powerful resource for all aspects of machine learning solutions. It encompasses many functionalities, including data preprocessing and transformation and statistical modeling, which includes regression, classification, clustering, and dimensionality reduction.

    Sklearn also offers tools for testing and validating data using cross-validation techniques and metrics to evaluate the performance of the trained models.

  • Seaborn

    Seaborn, a Python library, is a powerful tool for creating statistical visualizations built on Matplotlib. It seamlessly integrates NumPy and Pandas, making it convenient to work with data structures commonly used in statistical analysis with SciPy and statsmodels.

    With Seaborn, users can effortlessly generate visually appealing charts by leveraging its predefined styles and color palettes, requiring only a few lines of code. It is important to note that Seaborn is designed to complement Matplotlib rather than replace it, meaning familiarity with Matplotlib is necessary for fine-tuning Seaborn’s default plots. It is compatible with Python 3.7+ but no longer supports Python 2.

  • Statsmodel

    Statsmodels is a Python library specifically designed for data analysis, data science, and statistical modeling. It is a component of the Python scientific stack and relies on the powerful numerical libraries NumPy and SciPy.

    Statsmodels seamlessly integrates with Pandas, a popular library for data manipulation, and utilizes Patsy, which provides a formula interface similar to R, for convenient modeling.

  • Keras

    It is an open-source deep learning framework that aims to streamline the process of building deep learning models and provide a platform for quick experimentation with deep neural networks.

    Keras is advantageous and user-friendly, making it ideal for individuals new to deep learning. Due to its simplicity, intuitive syntax, and ease of use, it is widely regarded as the top framework for beginners.

    The framework’s syntax is designed for readability and straightforward application. The major users are CERN, Google, Netflix, and Uber.

  • SQL

    SQL (Structured Query Language) is ideal for manipulating and managing relational databases. It helps store, retrieve, update, and delete data efficiently, making it an essential skill for working with databases and performing data-related tasks in various industries.

  • R (Optional)

    Data analysis and visualization are frequently done using the statistical computer language R. With its extensive number of packages and functions, R provides a full environment for statistical modeling, machine learning, and graphical representations, making it a favorite tool for researchers and data scientists.

Data Visualization Tools:

  • Excel

    Excel is widely used to organize and analyze data effectively. It offers useful features such as formulas, charts, and pivot tables..

  • PowerBI

    Microsoft’s PowerBI is a robust and user-friendly tool designed to facilitate efficient data analysis. Rather than functioning as a conventional programming language, PowerBI operates as an application tool similar to Excel.

  • Tableau (Optional)

    The potent data visualization tool Tableau allows users to build dynamic dashboards and reports that are pleasing to the eye. Its easy drag-and-drop interface and rich functionality simplify exploring, analyzing, and communicating data insights, enabling businesses to make more successful data-driven decisions.

Soft Skills:

  • Be comfortable with pattern identification. You must acquire the skills to detect anomalies in a data set and the know-how to analyze it.

  • Learn about machine learning and its related algorithms.

  • Master basic computing skills to use numerical analysis, database systems, and data management principles.

  • Be proficient in implementing statistical models and algorithms that facilitate artificial intelligence and several other business processes.

  • Master programming languages such as Python, SQL, R, or Java to code and create a program framework for data analysis.

  • As a data scientist, you must know how to tell the story behind the data and graphically represent it to stakeholders.

  • Master analytical or critical thinking to provide data-backed insights and solutions to several business problems.

Projects and Assignments Included

The Data Science Certification course explores applying data science and analysis techniques to solve complex business challenges and drive informed decision-making in various industries and functional areas. Projects and assignments span across:

  • Business problem-related data handling, creation of dynamic dashboards, and performing ad-hoc analysis using Excel, SQL and PowerBI
  • Exploratory Data Analysis - Marketing Insights for Leading E-Commerce Company
  • Building a Predictive Model (Probability of Default Model) for Leading Bank using Regression
  • Marketing Insights for E-Commerce Company
  • Woman Clothing E-Commerce Platform- Customer Review Analysis
  • Deployment of ML model and create Flask application

Data Science Course in Gurgaon with Immersive Learning

Classroom & Bootcamp

An immersive, in-person learning experience designed to accelerate skill development through intensive, hands-on training and expert mentorship. It bridges the gap between theory and real-world application, equipping learners with the expertise and skills needed to succeed in today’s dynamic professional landscape.

Interactive Live Online

Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.

Blended eLearning

Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.

These are the three main learning modes. In addition to these, we also have the option to merge online and offline training modes. In our efforts to offer an immersive learning experience, we offer our students a hybrid learning mode where they can mix primary learning methodologies to meet their needs.

 

Data Science Certification Course Fees in Gurgaon

The Data Science Course in Gurgaon adheres to industry standards. This course lasts 9.5 months or 675 learning hours, and the costs vary according to your chosen learning mode.

Classroom Sessions

₹ 68,440/- including taxes

EMI starts @ 8,260

*Pay in easy EMIs starting at INR ₹6387 per month.

  • Fees payable in up to 3 installment​s
  • 0% Interest EMI – Pay in Easy Installments (though education financing partners)
  • Cost-effective courses with high ROI, making it worth every penny you invest.
Enroll Now

Interactive Live Online

₹ 59,000/- including taxes

EMI starts @ 8,260

*Pay in easy EMIs starting at INR ₹6387 per month.

  • Fees payable in up to 3 installment​s
  • 0% Interest EMI – Pay in Easy Installments (though education financing partners)
  • Cost-effective courses with high ROI, making it worth every penny you invest.
Enroll Now

Blended eLearning

₹ 53,100/- including taxes

EMI starts @ 8,260

*Pay in easy EMIs starting at INR ₹6387 per month.

  • Fees payable in up to 3 installment​s
  • 0% Interest EMI – Pay in Easy Installments (though education financing partners)
  • Cost-effective courses with high ROI, making it worth every penny you invest.
Enroll Now

Data Science Certification in Gurgaon

With our strong domain expertise, AnalytixLabs certifications are highly valued and widely respected across the industry. As India’s leading Data Science institute, we uphold a rigorous and credible certification process to ensure our students are thoroughly prepared for real-world challenges.

Certification is awarded only upon successful completion of all the stipulated course requirements, which include, but are not limited to, case studies, MCQs, and viva assessments—all to be completed within the defined timelines. Candidates are given two attempts per assessment, and the certification must be completed within one year of course enrollment.

Additionally, you have the opportunity to earn prestigious certification through our esteemed academic and industry partner:

  • NASSCOM – FutureSkills Prime (FSP): Offered through FutureSkills Prime, a flagship initiative under India’s Trillion Dollar Digital Economy mission, this certification is NASSCOM-approved and industry-aligned. It provides in-depth training in Analytics & Data Science, equipping learners for the dynamic digital landscape.

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Data Science Training & Placement

AnalytixLabs is committed to helping you launch your career successfully. Our default placement guidance program focuses on developing job-relevant skills. You’ll receive expert guidance on resume building, interview preparation and how to apply for relevant job roles. 

Learn more about our Job Guarantee Program: https://www.analytixlabs.co.in/placements/

Placement Readiness Program

The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.

It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.

Diverse Job Opportunities

• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.

• Many students receive multiple interview calls and see a significant boost in career prospects.

• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.

Continued Career Support

Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.

Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.

Check your Eligibility

Candidates Trained by Us Are Working in Leading Companies…

Download our Latest Placement Report

How To Apply

To apply for programming courses, visit our website, browse available programs,
select your course, complete the registration form, and make payment.

Submit your application

Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.

Give a selection test

Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.

Reserve your seat

Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!

Payment

Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.

Student Journey Highlights: A Peek

What Students Say About Us?

True Stories, Transformative Career Experience

Piyush Ganar, Class of 2012 IIM Ahmedabad

(Director of Operations,  Kenty.AI)

The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.

Raajeev Kumar Sahu

(Senior Manager – Data Science, FinTech Startup)

I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.

Sumit Asthana

(Assistant Manager, Senior Data Scientist)

The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.

Surbhi Sultania

(Analytics Manager, Mastercard Data & Services)

I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.

Vibhu Gautam

(Professor of Practice – Computer Science, UPES)

I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it. 

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Frequently Asked Questions

Data science is all about analyzing structured and unstructured data, detecting unseen patterns, and creating predictive models to solve business problems. A data scientist will use statistical analysis and machine learning algorithms to create these models that enable a business to make meaningful decisions. These data can come from various sources and in multiple formats. 

However, when we talk of the life cycle, data science goes about five distinct stages. 

Stage 1: Capturing the data 

The first step is always gathering unstructured raw data, and this is done either by a manual data entry process or automated campaigns to capture data. Data extraction, signal reception, and data acquisition form the crux of this stage. 

Stage 2: Data preparation and management 

After gathering raw data, this data is converted in a form where it can be used i.e., further analyzed—processes like data cleaning, data staging, and data staging help in doing this. 

Stage 3: Data Exploration

The next step is to mine the data and analyze the patterns and ranges. Data scientists see if the data in hand will be useful for business predictions—processes like data classification. Data modeling and data mining are part of this stage.

Stage 4: Analyzing and Modelling the data 

This is the real exciting stage. Once a data scientist is confident that the data can be useful, analytic processes like text mining, qualitative analysis, and predictive analysis begin. Various forms of analyses are performed on the data.

Stage 5: Data reporting

Data visualization, reporting, and decision-making are all part of this final stage. Once data is analyzed, a data scientist has ready materials to communicate with business stakeholders. Through data visualization, reporting, and analytic models, a data scientist communicates the insights they have gathered and what they could mean for the business.

Moving on to the next step – what does a data scientist do, and what is it like having a career in data science.

A data scientist looks into all these stages and ensures that the right insights are made. However, this is only a broad explanation of what a data scientist does, and it is easier said than done.

A data scientist’s job description depends on the project they are working on, but the basic requirements of being a data scientist remain the same. Go to any data science certification course in Gurgaon, and you will find it covers the following skill sets: 

  • To identify data sources and automate data extractions or collection.
  • To know how to process data and learn to sort structured and unstructured data. 
  • To analyze data for patterns and trends.
  • To build predictive business models based on these analyses. 
  • To communicate data findings and learn to represent data visually. 
  • To clean data and remove all noise. 

Please take a look at what a data scientist does and what skills are required in our blog on the Role of a Data Scientist. 

A data scientist knows how to handle business problems and provide solutions for abstract problems, which is one of the primary reasons this is a lucrative choice for a career. 

The jobs are evolving as businesses face new challenges every day. Customer market or consumer demands change at the drop of a hat. Thus, companies have no option but to look at data every day to identify trends and patterns that will help them stay updated and afloat. They need data scientists to do all the analyzing and predicting to do this. 

Research by Forbes and Glassdoor shows that by 2026, there will be a 28% increase in the demand for data science professionals. Another survey saw data scientist as the second-best job in America in 2021, with an average base salary of USD 127,500. 

So, if you want to start with a data science certification course in Gurgaon or any city, there is no better time than now. 

It is very often for data science aspirants to talk about the best data science certification course in Gurgaon. You may enroll in one of the best data science courses in Gurgaon, but if you are hoping to master data science, you must first learn to identify the different areas of data science. While it is essential to have basic knowledge about all the areas, you must have one specialization, to say the least. Once you are hired, you will be required to make a focus area where you can be unbeatable. 

Focus area does not mean you do just one thing, and it simply means you are best at doing that one thing along with several other things.

So, when you choose to become a data scientist, here are the areas where you can make a mark for yourself. Mind you, you must know it all, but depending on your background and experience (and interest), one of these becomes your core skill.

(1) Database management 

You learn how to design and deploy databases and be adept in maintaining databases containing complex data. If this is your core skill, you can opt for data analyst and data administrator job roles. 

(2) ML Engineer

This area is about data designing and implementing enterprise-level infrastructure for machine learning solutions. You are responsible for analyzing the system requirements before deploying integrated AI ML models, and business uses. Ideal job roles are AI and ML engineers. 

(3) Data mining 

You become a pro in application statistics, meaning you know how to mine data and create predictive models based on your analysis. You look at consistent patterns or trends that can help businesses gain insights into their consumer market and make informed business decisions. You are in charge of finding insights and representing the findings in layman’s terms so that everyone understands the message. Your ideal job role can be a data scientist or a business analyst. 

(4) Business intelligence

This area of data science deals with back-end data source improvements. This is done to improve and increase accuracy in data and build better business solutions. A business intelligence specialist does everything from managing dashboards to identifying business opportunities and reporting to stakeholders. Roles you can consider are BI engineer, data strategist, BI analyst. 

(5) Cognitive development

This area is more popularly tagged with building a robot. You deal with more complex data on a larger scale. Here you learn to gather maximum data input to feed your model and build data pipelines. You learn to A/B test your data sources and build an actual algorithm. This focus area is more adept for people who believe in research and are pro with statistical techniques. If you are able to master this area, then roles like ML engineer and cognitive developer are an ideal match for you. 

(6) Data visualization

This is an exciting area where you learn how to represent your data better visually. Each analysis can have specific business needs and use cases. Learning to express your data according to the use case is undoubtedly a skill. You are responsible for creating business solutions and representing them to the stakeholders and your team for clarity and implementation. Ideal roles are Data visual developer and software developer. 

(7) Sector-based data analytics

Learning how to handle data is one part of the story. You can train yourself to become a pro for a particular industry as well. Here are some go-to ideas: 

  1. Operations analytics: if you are not that technical but still love to solve problems, then this is where you belong. Here, you learn to leverage available tools, work on data provided by a data team, and find opportunities for the business. It can be logistics, finance, human resource, or technology. 
  2. Marketing analytics: You focus on data related to customer and sales and track customer behavior to create predictive models on how businesses can connect with target consumers better. 
  3. Healthcare and finance analytics: if you are from any of these backgrounds, then you can simply opt to take up a role where you look into business expectations and enable the business to find the right kind of solution. 
There are several modes of teaching at AnalytixLabs, and each mode has a different fee structure.  
 

→  Classroom Sessions: INR 68,440/- (including Taxes)

→  Interactive Live Online Sessions: INR 59,000/- (including Taxes)

→  Blended eLearning:  INR 53,100/- (including Taxes)

You can also avail of the optional eLea​rning course of Data Science with R at an additional cost of only INR 4,000 now (instead of INR 20,000).

What you get: 

  • Can pay the fees in 3 installments or opt for no-cost EMI options
  • 500 hours of intensive learning​
  • In-mail, online, in-person support
  • Flexibility to complete the course in 1 year (6 months for dual certificate)
  • ​Additionally, you have the opportunity to earn prestigious certification through our esteemed academic and industry partner:

 

→  NASSCOM – FutureSkills Prime (FSP): Offered through FutureSkills Prime, a flagship initiative under India’s Trillion Dollar Digital Economy mission, this certification is NASSCOM-approved and industry-aligned. It provides in-depth training in Analytics & Data Science, equipping learners for the dynamic digital landscape.​

Payment modes:  All digital modes of payment are accepted here. You can pay via UPI ID or use your credit/debit card to process the payment. You can also make on-spot payments via cheque payment. Career and placement support offered by AnalytixLabs

AnalytixLabs offers career and placement support for all students enrolled in data science courses.

AnalytixLabs offers career and placement support for all students enrolled in data science courses. 

There is a dedicated team of industry experts who help in:

  • Building professional resumes and online profiles for maximum exposure
  • Train and enable students to be confident for upcoming interviews
  • Offer job referrals across various organizations through AnalytixLabs rich alumni who are associated with some of the big names in the tech industry
  • On-going support for all students as long as needed

AnalytixLabs is a proud house to students who have paved their way into some of the biggest tech names like JP Morgan, IBM, Facebook, Deloitte, Bank of America, Tech Mahindra, McKinsey & Company, and more. 

Industry experts offer mock interviews, career guidance, and performance feedback to train you for the professional world. So, if you are looking for a data science course with placement in Gurgaon, it has to be AnalytixLabs Data Science 360 course.

There is no denying that AnalytixLabs has carved a name for itself as one of the leading data science training institutes in Gurgaon. And it’s not just us saying – check out the reviews from learners who experienced it first-hand. 

  • G2 Rating: 4.7/5
  • Glassdoor: 4.4/5
  • Sitejabber: 4.85/5
  • Trustpilot: 4.1/5

What are our students saying? 

I have completed Data Science with python from AnalytixLabs. I have never regretted my choice since the day I joined AnalytixLabs. And trust me whosoever is planning to learn must choose AnalytixLabs. The kind of support and guidance I receive from the course mentors is really amazing. They never feel irritated or bored while explaining. Enjoyed my learning time with AnalytixLabs. 

~ Neha P. on G2 platform.

Understanding predictive modeling and the application in real-world with hands-on projects and assignments

  1. The course content, assignments, and projects
  2. The faculty- The way Chandra Sir taught data science combining the concepts with business acumen, helped me to gain an idea about the way data science is used in real life apart from the mathematical concepts behind each algorithm

~ Gaurav K. on G2 platform.

I have enrolled with AnalytixLabs, Gurgaon for the Data Science course in Python, R, and also Big Data using Spark, Hadoop. So far I have done the Python course. The lecturer Mr. Chandra Mouli is very knowledgeable and experienced in the subject. In fact, all the faculty members are very much in sync with current industry trends in the field of Machine learning. The lectures are conveniently timed on the weekends so can be attended by working professionals like myself.

Even if we miss a call or two the videos are available in the LMS so the candidate can self-train as well. I liked that Analytixlabs focuses on delivering hands-on training via practicals, exercises, and projects.

~ Saurabh’s review on Glassdoor.

In Analytixlabs, you can directly reach trainers whenever required. They are very friendly and supportive. They will guide you for the right opportunities. 

~ Nina H. on Sitejabber platform.

Check out more testimonials from our students (connected to genuine LinkedIn profiles) on our Testimonial page.

AnalytixLabs offers a master’s degree in data science, artificial intelligence, and business analytics. These courses are for advanced learners and are equivalent to any post-graduate course in the same discipline. As an added bonus, you get in-depth knowledge, real-time on-hand experience, industry exposure, and advanced project work.

We can confidently assure you that you will not be disappointed at the way your career will pick up post completing the course. We have real-time examples of how students have made transitions in their careers. For instance, Dhruv Agarwal, one of our data science students, moved from the manufacturing sector into data science after completing his training with AnalytixLabs. Since he was a non-programmer, knowing that he moved ahead with data science gives us the confidence to say that it won’t be tough for you. 

There are many stories like these. We urge you to focus on learning all the concepts carefully.

Yes. Our courses are designed to train you with all the basics. If you are not a programmer, fret not – our course modules include training in programming languages. Add to this, there are various sections of data science that do not require you to know programming languages. If you are an analytical thinker and know how to solve random and abstract business problems by simply looking at data, you are all set.

Every course has a demo class that anyone interested can take to get an overview of what the course is about, how the trainer is, and the quality of the certification course. These demo classes are free and can be taken before enrolling in a paid course.

AnalytixLabs is for data scientists and business analyst experts by data science and BI enthusiasts. The faculty comprises IIT and IIM alumni members who have in-depth industry knowledge.

The faculty members are selected from the best talent pool in the industry and who are not just passionate about Data Science but also about coaching. 

We are close to understanding the nitty-gritty of being a data scientist and where to start from. Before we wrap up this discussion, here are a few more blogs are sources you may refer to learn Data Science.

You can start with our Free Resources that are downloadable and offer lifetime access to you. Some blogs that are worth reading: 

1. What is the difference between data science and business analytics?
2. Is PG in data science worth it?
3. What is the Data Science process?
4. Beginners guide to mastering Python for data science
5. Top 25 books to learn Data Science

Some other data science blogs worth following are: 

  1. The IBM Data and AI blog:  IBM is a leader when it comes to data science and AI. Make sure to follow this blog and get the latest insights on how to disrupt the data science industry and develop innovative ways to improve market ROI. 
  2. Dataversity: This is more like an online magazine clustered with videos, infographics, whitepapers, and more to help students prepare for the future. Looking for a learning plan? Dataversity offers one, and a pretty good one. 
  3. FiveThirtyEight: The editor-in-chief, Nate Silver, is a statistician. So, expect a lot of insights on the practical use of data. Add to this, there are two podcasts that cover data points in sports and politics. Worth reading (And listening).
  4. Data Science 101: This blog is run by an award-winning team and is the OG of data science blogs. From explaining the founder’s journey from software engineer into data science, to running an ongoing series on cloud data science – this blog is a gamut of information for all data science enthusiasts.

That’s it. Looking to start with data science? Now’s the time. If you are an existing professional and looking to hone your skills, enroll yourself and go over the concepts once again along with acquiring advanced knowledge. Your data science career starts from here. Hurry, seats are filling in fast. 

We hope all this information clears any doubts that you may have regarding the data science classes in Gurgaon, especially at AnalytixLabs. If you still have a question we did not address, feel free to connect with us, either via our social pages or via the connect with us page.

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