Data Science Course by Ritesh Dhapudkar

This comprehensive Data Science Course is designed for students, job seekers, and professionals who want to build strong analytical and technical skills in data analysis, machine learning, and business intelligence tools. Delivered through live online training, the program provides a complete learning pathway from foundational concepts to advanced data science techniques.

The course focuses on practical, industry-relevant skills that help learners understand how to collect, analyze, visualize, and interpret data to support decision-making. Participants will gain hands-on experience using popular tools such as Python, SQL, Excel, and Power BI, along with exposure to machine learning and deep learning concepts.

Whether you are a beginner entering the data field or a professional looking to upgrade your analytical skills, this course offers structured guidance and real-world learning.

What Students Will Learn

Students will develop strong knowledge across core data science domains:

Programming & Data Handling

• Python programming for data analysis

• Working with data libraries and datasets

• Writing efficient scripts for automation and analysis

Database & Querying Skills

• SQL fundamentals and advanced queries

• Data extraction, filtering, and manipulation

• Database management concepts

Data Analysis & Visualization

• Exploratory Data Analysis (EDA) techniques

• Creating meaningful visualizations

• Identifying patterns and trends in datasets

Data Preprocessing

• Data cleaning and transformation

• Handling missing values and outliers

• Feature engineering basics

Business Intelligence Tools

• Microsoft Excel for data analysis

• Power BI dashboard creation

• Interactive reporting and data storytelling

Machine Learning

• Introduction to machine learning models

• Supervised and unsupervised learning concepts

• Model evaluation and performance improvement

Deep Learning Basics

• Neural network fundamentals

• Understanding real-world AI applications

Teaching Method

The course is conducted through interactive online live sessions with a strong emphasis on practical learning. The teaching methodology includes:

• Hands-on exercises using real datasets

• Step-by-step demonstrations of tools and techniques

• Practical assignments and mini projects

• Concept clarity through real-life examples

• Personalized doubt-clearing sessions

This approach ensures students gain both theoretical understanding and practical confidence.

Why This Tutor

The training is guided by an experienced instructor who focuses on making complex data science concepts easy to understand. The teaching style emphasizes clarity, structured learning, and practical implementation to help learners apply skills effectively.

Benefits & Outcomes

After completing this course, learners will:

• Develop strong data analysis and visualization skills

• Gain confidence in Python and SQL for data work

• Build professional dashboards using Power BI

• Understand machine learning fundamentals

• Improve problem-solving and analytical thinking

• Prepare for entry-level roles in data analytics and data science

This course provides a solid foundation for learners aiming to pursue careers in the data-driven industry.