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Data Science Training to Build Practical Data Analysis Skills

The Data Science course will provide you with knowledge of how data is collected, analyzed, visualized, and then used to solve problems. In the course, you will learn the basics of data analysis, statistical techniques, and data visualization.

4.9 (765 reviews)
45,000 Enrolled
140 Hrs of Content
Recorded Class
  • 12 modules ยท 36 topics ยท 140h of content
  • Industry-recognized certificate on completion
  • Live doubt-clearing sessions with expert mentors
  • Hands-on projects & real-world case studies
Expert Trainer Industry Certificate Real-live Projects Trainer Support Interview Preparation Resume Building Support Career Guidance Lifetime Membership Access

Duration

140Hrs

Modules

12

Topics

36

Enrolled

45,000

Certificate

Included

Access

Lifetime

About the Data Science Training

To take a Data Science course, you will acquire information about how to use data to answer some questions or solve some business problems. In this course, you will be learning how to deal with data, extract patterns from it, and convert data into useful insights. Some of the required subjects that you will study in a Data Science Training are data cleaning, exploratory data analysis, and data visualization.

Data Cleaning: Learn how to detect and fix problems in data.
Data Analysis: Perform analysis of data and conclude.
Statistical Analysis: Interpret numerical data.
Data Visualization: Visualize data using graphs.
Predictive Analytics: Learn how to predict using data.
Machine Learning: Learn the basics of machine learning.
About the Data Science Training

Data Science Training

Why Should You Learn Data Science?

The number of companies that generate huge amounts of data on a daily basis is very high; however, there is a need for individuals who would be able to analyze such data and draw conclusions from it. A Data Science Certification will give you insights into how businesses leverage data for decision-making purposes.

Learn how to manage Data

A Data Science Training will help you understand how to collect, clean, and analyze data. You will learn how to manage missing values and errors to make your data understandable.

Discover Patterns within the Data

By taking a data science course, you will be able to discover different exploratory data analysis approaches that will allow you to see the patterns and trends within the data.

Visualize the Data

Data Visualization is introduced in a Data Science Course using different graphs, charts, and visualizations which will help you to present your findings to the audience who doesn't have any technical knowledge.

Find the Right Career Path for You

A Data Science Classes will help you to prepare for further education in positions of a data analyst, junior data scientist, and business analyst. It depends on your skills and experience what job offers you can get.

Know How Data Can Help in Predicting Trends

Predictive analysis and machine learning basics can be taught to you in a Data Science course. They allow people to make future predictions on the basis of existing data regarding trends like sales or requirements.

Why Enroll in Corporates Academy for Data Science Training?

Taking a proper Data Science Course will help you to learn data science techniques in an organized way. Corporates Academy offers training for learners who want to know how data science is used to solve corporate issues. Before enrolling in the Data Science training, take into account the following issues: the syllabus, software covered in the course, assistance by the trainer, and practical learning. Data Science Training Course could be useful for you to determine the compatibility between your skills and the course.

  1. Structured Learning: Learn in an organized way from basic to advanced problems through the course.
  2. Data Analysis Techniques: Learn how to analyze data and find patterns.
  3. Real-Life Examples: Get to know about the use of data science in a business environment.
  4. Trainer Assistance: Get assistance in dealing with difficult problems during the course.
  5. Career Development: Get familiar with data-related career prospects and their prerequisites.

Key Benefits of Data Science Course

Upon enrolling in the Data Science course, you will have the opportunity to learn how to turn data into insights. You will learn how to work with numbers, analyze data patterns, and visualize the results in a comprehensible manner. Data Science Course includes several crucial topics such as data cleaning, exploratory data analysis, and statistical analysis.

  1. Data Cleaning: Learn how to identify missing data and its errors.
  2. Data Analysis: Learn how to work with data and its patterns.
  3. Statistical Knowledge: Learn how to utilize statistics to describe data and its trends.
  4. Data Visualization: Learn how to visualize information in a comprehensible graphical manner.
  5. Predictive Analytics: Learn how to utilize data for predicting future trends.
  6. Career Skills: Create a solid background for learning about careers in the field of data science.

Career Opportunities After Data Science Training

Your career options depend on the tools you learn, your practical skills, and your work experience. A Data Science Certification can help you build skills for entry-level jobs that involve data analysis and reporting.

Job RoleMain Work
Data AnalystStudies data
Junior Data ScientistFinds data patterns
Business AnalystStudies business needs
Reporting AnalystPrepares data reports
Data Visualization AnalystCreates charts and graphs

Salary Expectations for Data Scientists

Below are some general salary figures for data scientists in India. Data Science Training Course is good if you want to learn about data jobs; however, your salary will depend on your experience, skills, projects, and the company you work for.

Experience LevelEstimated Annual Salary
Fresherโ‚น3-6 LPA
Early-Career Professionalโ‚น6-12 LPA
Experienced Data Scientistโ‚น12-25 LPA
Senior Data Scientistโ‚น20-35+ LPA

Who Is This Course For?

Fresh Graduates

Fresh Graduates

Looking to break into tech with job-ready skills

Career Switchers

Career Switchers

Professionals pivoting from non-tech backgrounds

Curious Learners

Curious Learners

Anyone eager to explore this exciting field

What You'll Learn

Data Cleaning: Acquire knowledge about how to discover missing data, fix errors, and organize data. Data Science Course component teaches the importance of proper data preparation for obtaining accurate results.
Exploratory Data Analysis: Learn the basics of working with data in terms of studying it, finding patterns and changes through exploratory data analysis. Data Science Training component teaches you how to analyze data to answer various questions.
Statistical Analysis: Study the basics of statistics that help you understand data, compare results, and find trends in numbers. Data Science Certification component provides a strong foundation for using numbers in decision-making.
Data Visualization: Discover how visual representation of data improves understanding of numbers. The course topic introduces the basics of data visualization and how it enables conveying information.
Predictive Analytics: Understand how historical data can be used for prediction of future trends and outcomes. This course topic teaches the basic concept of using data for forecasting and making decisions.
Machine Learning Fundamentals: Learn the basics of machine learning algorithms in terms of pattern recognition and predictions based on data. This course provides an introduction to machine learning as a component of data science.

Technologies Covered in This Course

Python

Career & Placement Support

Real professionals who accelerated their career growth and secured new opportunities with our Career & Placement Support.

Mock Session

Mock Interview Session

Practice Data Science Training to Build Practical Data Analysis Skills interview questions, case studies, and technical scenarios with expert feedback.

LMS Learning

LMS Learning

Access Data Science Training to Build Practical Data Analysis Skills recordings, Data Science Training exercises, datasets, assignments, and study materials anytime.

Career Support

Career Support

Get resume preparation, LinkedIn optimization, interview guidance, and job-search assistance.

Certified Expert

Trainer Experience & Expertise

An efficient trainer employs clear explanations and examples, enabling a student to understand concepts like data cleaning, statistics, and visualization techniques. The availability of a good trainer makes it easier for Data Science Classes to be understood, especially for people who have no prior experience working with data.

  • Data Knowledge: Acquire knowledge of basic data science topics.
  • Tool Information: Gain knowledge about the tools that come with the Data Science course syllabus.
  • Easy Examples: Connect data topics with common business problems.
  • Topic Assistance: Seek assistance with topics covered in the course.
  • Practical Understanding: Understand data tasks from practical activities, if any.
  • Career Information: Learn about the skills required for data jobs.
Your Learning Journey

Training Roadmap

A complete learning journey designed to build practical skills and prepare you for real-world opportunities.

01

Industry Expert Trainer

Learn Data Science Training to Build Practical Data Analysis Skills from an experienced trainer through practical explanations and real-world examples. Build your skills through 140 hours of training.

02

Updated Learning Resources

Access updated presentation decks, training notes, practice files, and supporting resources used during live sessions, so you can revise every topic at your own pace and stay prepared for interviews.

03

Digital Study Material

Support your Data Science Training to Build Practical Data Analysis Skills learning with structured digital materials, reference guides, and revision notes. Study materials are organized across 12 modules.

04

Practice & Assessments

Test your knowledge through module-wise assignments, practice exercises, and assessments. Reinforce your understanding of 36 topics covered in the curriculum.

05

Recorded Sessions

Revisit important concepts and catch up on missed classes with recorded sessions, where available. Choose from 3 batches scheduled each month.

06

Hands-On Projects

Apply your Data Science Training to Build Practical Data Analysis Skills knowledge through practical projects and scenarios relevant to the course. 6 Live projects included.

07

Professional Resume Support

Create a professional resume that highlights your skills, practical work, and career goals with expert guidance with 200

08

Interview Preparation

Prepare for roles related to Data Science Training to Build Practical Data Analysis Skills with mock interviews, relevant questions, practical scenarios, and trainer feedback.

Our Hiring Partners

Top companies actively hire from our alumni network.

tata-group
Cisco
Deloitte
Accenture
Wipro
Ganpact
TCS
Infosys
sap
Motherson
Tech Mahindra
Samsung
120+
Hiring Partners
85%
Placement Rate
โ‚น12 LPA
Avg. Salary Offered

Course Curriculum

12 modules ยท 36 topics ยท 140h total

1 Data Science Fundamentals 3 topics
Data science lifecycle and business applications
Data types, sources and analytical thinking
Data ethics, privacy and responsible use
2 Python Programming 3 topics
Variables, data types and control flow
Functions, collections and file handling
Jupyter notebooks and reusable Python code
3 NumPy and pandas 3 topics
Arrays, indexing and vectorized operations
DataFrames, filtering and aggregation
Combining datasets and reshaping data
4 SQL and Databases 3 topics
Relational tables, keys and basic queries
Joins, grouping and subqueries
Window functions and data extraction
5 Statistics and Probability 3 topics
Mean, variance and probability distributions
Sampling and confidence intervals
Hypothesis testing and correlation
6 Data Cleaning 3 topics
Missing values and duplicate records
Outliers, inconsistent formats and validation
Categorical encoding and feature scaling
7 Exploratory Data Analysis 3 topics
Univariate and multivariate analysis
Visualizations with Matplotlib and Seaborn
Patterns, trends and communicating findings
8 Machine Learning 3 topics
Linear and logistic regression
Decision trees, random forests and boosting
Clustering and dimensionality reduction
9 Model Evaluation 3 topics
Train/test splits and cross-validation
Classification and regression metrics
Data leakage, feature selection and tuning
10 Time Series and Forecasting 3 topics
Trends, seasonality and time-based validation
Lag features and baseline forecasts
Forecast accuracy and model comparison
11 Deployment and Communication 3 topics
Saving models and building prediction APIs
Interactive dashboards and data storytelling
Monitoring data drift and model performance
12 Capstone Project 3 topics
Define a business problem and prepare data
Build, evaluate and interpret a model
Present insights and deploy a demo

Salary Range & Job Opportunities

Roles our alumni land after this course

Senior Consultant

โ‚น 10โ€“22 LPA

Accenture Deloitte TCS

Project Manager

โ‚น 12โ€“25 LPA

Wipro Infosys IBM

Solution Architect

โ‚น 18โ€“35 LPA

Capgemini PwC KPMG

87%

Placement Rate

โ‚น 3.5L

Avg. Salary Hike

45 days

Avg. Time to Hire

Student Reviews

4.9

Course Rating

5
62%
4
25%
3
9%
2
3%
1
1%
765

Total reviews

๐Ÿ†

Certificate of Completion

Data Science Training to Build Practical Data Analysis Skills

Corporate Academy

Awarded upon successful completion

Industry-Recognised Certificate

Earn Your Certificate

Finish every module and project to earn the Corporate Academy course completion certificate. Share the Corporate Academy certificate on LinkedIn attach it to your resume and display this Corporate Academy achievement to recruiters, across India and worldwide.

  • Data Science Training to Build Practical Data Analysis Skills course completion certificate

  • Share your achievement on LinkedIn and your resume

  • Highlight your completed training and newly learned skills

  • Add your certificate to your professional portfolio

FAQs for Data Science Training

Is it possible to attend Data Science classes without having advanced mathematics knowledge?

Yes, you can begin without having much knowledge of mathematics. But statistics and probability will be useful to know as you progress in this field.

Can this Data Science course help me become a Data Scientist straightaway?

Data Science Training can help you acquire knowledge about data analysis and other concepts. But to apply for a Data Scientist job, you may need more knowledge of statistics, Python, machine learning, projects, and practical approaches.

What should I consider before taking up this Data Science course?

You need to consider the course curriculum, practical work, tools, and support provided by the instructor. You can also make sure that you learn Python, Pandas, NumPy, SQL, and any visualization library.

Should I start learning Data Analytics before Data Science?

You can choose either based on personal preference. Data Analytics emphasizes analyzing and interpreting data, whereas Data Science often covers predictive analytics and machine learning as well.

What projects should I develop after Data Science classes?

Begin by solving a problem of a simple nature, such as sales analysis, customer analysis, product analysis, etc. Use the skills from the class and the tools studied to process the data, discover patterns, and visualize your findings.

Enrol in this Programme

Lifetime access ยท Industry certificate

โšก 3 seats left for 8 Nov 2026

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Format

Recorded Class

Duration

140h of content

Access

Lifetime

Certificate

Included on completion

Language

English ยท Hindi subtitles

Enrolled

45,000

Upcoming Batches

8 Nov 2026

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left

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6 Dec 2026

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