Data Science & Analytics
The Data Science and Analytics course is designed to equip learners with the practical skills and theoretical knowledge required to transform raw data into meaningful insights. This comprehensive program covers the full data lifecycle — from data collection and cleaning to analysis, visualization, and predictive modeling — helping students build strong analytical thinking and problem-solving abilities. Whether you are a beginner or an IT professional looking to upgrade your skills, this course provides hands-on experience using modern tools and real-world datasets.
Data Science & Analytics Certification Key Features
Learn the most in-demand tools and concepts such as Python, SQL, statistics, machine learning, and data visualization aligned with current industry needs.
Work on real-world datasets, case studies, and capstone projects that help you apply concepts and build a strong professional portfolio.
Get mentorship from experienced data science professionals who provide practical insights, career tips, and personalized learning support.
Gain experience with popular platforms like Excel, Power BI, Tableau, Jupyter Notebook, and data analytics libraries used by companies worldwide.
Receive resume building, interview preparation, and career guidance to help you confidently apply for Data Analyst and Data Scientist roles.
Earn an industry-recognized certification that validates your analytical skills and improves your credibility in the job market.
Skills Covered
Data Analysis & Interpretation
Python for Data Science
Statistics & Probability
Data Visualization & Dashboarding
SQL & Database Management
Machine Learning Fundamentals
Talk with Us!
Benefits
A Data Science and Analytics program offers powerful advantages for anyone looking to build a future-ready career in today’s data-driven world. One of the biggest benefits is the ability to turn raw information into actionable insights. Organizations across industries rely on data to make strategic decisions, improve customer experiences, and increase efficiency. By learning data analysis, visualization, and predictive techniques, you develop the skills needed to solve real business problems and contribute to smarter decision-making.
Designation - Data Analyst
Annual Salary
Hiring Companies
Designation - Data Scientist
Annual Salary
Hiring Companies
Designation - Business Analyst
Annual Salary
Hiring Companies
Designation - Data Engineer
Annual Salary
Hiring Companies
Designation - Machine Learning Associate
Annual Salary
Hiring Companies
Designation - Business Intelligence Analyst
Annual Salary
Hiring Companies
Designation
Annual Salary
Hiring Companies
Certification Course Curriculum
Eligibility
Fundamental understanding of computers, internet usage, and basic software like MS Office will be helpful for learning analytical tools smoothly. An interest in numbers, problem-solving, and logical reasoning is beneficial, as the course involves data interpretation and analysis.
Pre-requistes
A basic understanding of algebra, percentages, and simple statistics helps in understanding data analysis and machine learning concepts. No advanced coding skills are required, but learners should be open to learning beginner-level Python and SQL during the course.
Course Content
Module 1 - Introduction to Data Science & Analytics
Module 2 - Advanced Excel for Data Analysis
Module 3 - Statistics & Probability Fundamentals
Module 4 - Python for Data Science
Module 5 - SQL & Database Management
Module 6 - Data Visualization & Business Intelligence
Module 7 - Machine Learning Basics
Module 8 - Real-World Projects & Case Studies
Module 9 - Career Preparation & Certification
Contact Us
02269719625
Request More Information
Data Science & Analytics Course Advisor
Amit Kulkarni
Senior Data Science Trainer – Lead Instructor
The Senior Data Science Trainer is responsible for delivering core concepts such as Python programming, statistics, machine learning fundamentals, and real-world analytics workflows. With strong industry experience in data-driven projects, the trainer focuses on practical learning through case studies, live demonstrations, and hands-on exercises.
Sneha Jain
Business Analytics & Visualization Expert
The Business Analytics and Visualization Expert specializes in teaching data analysis using Excel, SQL, Power BI, and dashboard creation. This trainer helps learners develop skills in data storytelling, report building, and business intelligence strategies.
Data Science & Analytics Exam & Certification FAQs -
How is the final exam conducted?
The assessment usually includes a combination of online tests, practical assignments, and project evaluations. Students may need to analyze datasets, create visualizations, or demonstrate their understanding of analytical concepts.
What type of certification will I receive?
After successfully completing the course and passing the assessments, learners receive a course completion or professional certification that validates their skills in data science and analytics tools and techniques.
Do I need to complete projects to get certified?
Yes, practical projects and case studies are usually an important part of the evaluation process. They help demonstrate real-world skills and are often required to qualify for certification.
Does certification help with job placement?
Certification showcases your verified skills, making you more that attractive to employers and increasing your chances during interviews and hiring processes.
Why Join this Program
Industry-Relevant Skills for Future Careers
Gain practical knowledge in data analysis, visualization, and machine learning using tools that companies actively use. The program is designed to match current market demands and prepare you for real-world roles.
Hands-On Learning with Real Projects
Work on live datasets, business case studies, and portfolio projects that help you apply concepts practically. This project-based approach builds confidence and demonstrates your skills to employers.
Expert Mentorship & Career Guidance
Learn from experienced trainers who provide technical support, industry insights, resume-building tips, and interview preparation to help you grow professionally.
Strong Career Growth Opportunities
Joining this program can open pathways to roles like Data Analyst, Business Analyst, and Data Science Associate with long-term growth potential.