Rahul Abhishek - Data scientist , data analyst, python

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Python Training classes

4

Teaching Experience in detail in Python Training classes

I teach Data Analysis with Python through real business datasets and practical problems, rather than focusing only on syntax. The 3-month course covers: • Core Python – variables, data types, conditions, loops, functions, lists, dictionaries and other fundamentals • NumPy – arrays, numerical operations and data manipulation • Pandas – filtering, sorting, grouping, aggregation, merging, pivoting and working with real datasets • Data Cleaning – missing values, duplicates, incorrect data types, outliers and inconsistent data • Data Transformation & Feature Creation – converting raw data into analysis-ready information • Exploratory Data Analysis (EDA) – understanding patterns, trends, distributions and relationships in data • Matplotlib – creating charts and selecting the right visualisation for different business questions • Business Analysis & Reporting – converting analysis into meaningful insights and recommendations Students will work on realistic datasets such as sales, customers, orders, products and business performance data. The focus is not just on writing Python code. Students learn how to approach a business question, identify the required data, clean and transform it, perform analysis, visualise the results and explain what the findings mean for the business. By the end of the course, students will be able to independently take a raw dataset and perform an end-to-end data analysis project using Python.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in SQL Programming Training

1

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Microsoft Excel Training classes

2

Teaching Experience in detail in Microsoft Excel Training classes

I teach Excel through real business use cases rather than only formulas and syntax. The focus is on developing practical skills that students can use in their jobs, internships, and data analysis projects. The course covers Excel fundamentals, Text, Number and Date functions, IF conditions, SUMIFS/COUNTIFS, VLOOKUP/XLOOKUP, INDEX-MATCH, data cleaning, Pivot Tables, charts, and business report preparation. Students work with realistic datasets such as sales, customers, products, orders, and performance data to understand how Excel is actually used in organisations. I also teach how to convert analysis into meaningful business insights using the IIA approach – Information, Insight and Action: Information: What does the data show? Insight: What does it mean and why does it matter? Action: What decision or action should be taken? By the end of the course, students will be able to clean raw data, analyse it, create Pivot Tables and charts, prepare reports, identify important insights, and communicate findings clearly. Suitable for college students, freshers, working professionals, and anyone looking to build job-ready Excel and data analysis skills.