Data Analytics with Python Training by Deekshith K Gowda

Overview

This 1-month Online Data Analytics Course by Deekshith K Gowda is designed for students, freshers, and working professionals who want to enter the analytics field with strong practical skills. The program builds a clear foundation in Python, SQL, Excel, and Power BI, helping learners understand how analytics is applied in real-world business environments such as retail, healthcare, and e-commerce.

Deekshith is an MCA graduate with industry experience at Flipkart and MFine, IEEE research exposure, and teaching experience as a Python & Data Analytics Instructor at ICAI Bengaluru and iGeeks Technology. His classes are simple, structured, and practice-oriented so that learners can confidently apply data analytics concepts, not just study them.

What Students Will Learn

🔹 Module 1: Data Analytics Fundamentals

• Understand what Data Analytics is and how companies use data for decision-making

• Difference between Analytics, Data Science, and Business Intelligence

• Types of analytics and real-world business use cases from retail, healthcare, and e-commerce

🔹 Module 2: Python for Data Analytics (Beginner-Friendly)

• Basics of Python programming explained from scratch

• Variables, data types, lists, and dictionaries

• Conditions and loops using real-life examples

• Introduction to Pandas for data analysis

• Reading CSV and Excel files

• Exploring datasets and handling missing values

• Performing basic data cleaning and analysis

👉 Taught with step-by-step coding and live examples from industry datasets

🔹 Module 3: SQL for Data Analysis

• Understanding databases and tables

• Writing SQL queries to extract data

• Filtering and sorting data

• Using aggregate functions like COUNT and SUM

• Performing basic GROUP BY analysis

👉 Helps to understand how analysts work with real company databases

🔹 Module 4: Excel for Data Analytics

• Excel interface and worksheet handling

• Understanding data types in Excel

• Using essential formulas: SUM, AVERAGE, COUNT, MIN, MAX

• Applying logical conditions using IF

• Sorting and filtering data for analysis

👉 Excel concepts explained from an analyst’s job perspective

🔹 Module 5: Power BI Basics

• Introduction to Power BI and its role in analytics

• Importing Excel data into Power BI

• Creating basic charts and visuals

• Designing a simple one-page interactive dashboard

👉 Students learn how to present insights visually, like in real companies

🧪 Mini Project (Hands-On):

• Understanding a real dataset

• Cleaning data using Python or Excel

• Performing basic analysis

• Creating charts and a Power BI dashboard

• Learning how to explain insights confidently

🎯 Career Guidance & Internship Support:

• How data analytics is used in real jobs

• Understanding entry-level analytics roles

• Guidance on explaining this course and project in resumes and interviews

Teaching Method

• Mode: Online Live Classes
• Practical-first approach
• Real datasets & examples
• Step-by-step guidance
• Interactive learning & doubt-solving

Why Learn from Deekshith K Gowda

• Industry background at Flipkart & MFine
• IEEE research exposure
• Teaching experience at ICAI Bengaluru & training institutes
• Clear, student-friendly explanations
• Focus on job-oriented learning rather than theory

👨‍🏫 Why Learn From Me?

• Industry experience at Flipkart & MFine

• IEEE research exposure

• Taught at ICAI Bengaluru, Intrella Technologies, and iGeeks Technology

• Simple teaching style focused on clarity, practice, and job readiness

🎓 Course Outcomes:

By the end of this course, you will be able to:

• Understand core data analytics concepts

• Perform basic data analysis using Python and Pandas

• Write simple SQL queries

• Analyze data using Excel

• Create basic Power BI dashboards

• Confidently explain a mini project in interviews