Data Analytics with Python, Excel, Power BI & Tableau By Jaisurya Prakash

The Data Analytics with Python, Excel, Power BI & Tableau course is a comprehensive online program designed for beginners, students, and professionals aiming to master data analysis, visualization, and basic machine learning concepts. This course covers Python programming, Excel, Power BI, Tableau, statistics, and foundational ML techniques, equipping learners with the practical skills required to analyze and visualize data effectively.

Ideal for anyone looking to start or advance a career in data analytics, business intelligence, or data-driven decision making, the course combines theory with hands-on exercises and real-world examples.

What Students Will Learn

Python Programming (Basic to Advanced)

• Core Python syntax, data types, variables, loops, and functions

• Data structures: lists, tuples, sets, dictionaries

• File handling, exception handling, and modular programming

• Introduction to Python libraries for data analytics: NumPy, Pandas, Matplotlib

Excel for Data Analytics

• Advanced and basic Excel functionalities

• Formulas, functions, pivot tables, and charts

• Data cleaning, analysis, and reporting techniques

Power BI

• Building interactive dashboards and reports

• Data modeling and visualization

• Connecting Excel/CSV datasets and performing transformations

Tableau

• Data visualization and storytelling with Tableau

• Creating charts, dashboards, and interactive visualizations

• Data analysis for actionable insights

Statistics & Machine Learning Basics

• Descriptive statistics: mean, median, mode, variance, standard deviation

• Probability fundamentals and correlation analysis

• Introduction to basic machine learning concepts

• Hands-on ML exercises using Python

Teaching Method

• Mode: Online live classes

• Practical, project-based learning approach

• Real-world datasets for hands-on exercises

• Step-by-step guidance on data analysis, visualization, and reporting

• Interactive sessions with doubt-solving and continuous feedback

This approach ensures learners gain both theoretical understanding and practical skills to excel in data analytics.

Why This Tutor

Jaisurya Prakash specializes in data analytics, visualization, and machine learning basics. His teaching approach emphasizes practical application, concept clarity, and hands-on projects, making complex data analytics concepts easy to grasp for learners at all levels.

Benefits / Outcomes

Upon completing this course, students will:

• Gain mastery in Python, Excel, Power BI, and Tableau for data analytics

• Understand and apply statistical methods and basic ML concepts

• Build interactive dashboards, reports, and visualizations for decision making

• Gain practical experience through hands-on exercises and real-world datasets

• Prepare for careers in data analytics, business intelligence, and data-driven roles

This course is ideal for learners seeking a complete, industry-ready data analytics skill set.