Sidhnath Jha

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in NEET-UG Coaching Classes

1

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Microsoft Excel Training classes

5

Teaching Experience in detail in Microsoft Excel Training classes

I have extensive experience teaching Microsoft Excel to students and working professionals across various skill levels — from absolute beginners to advanced users. My Excel training covers: Basics & Foundation Navigating the Excel interface, ribbons, and shortcuts Data entry, formatting cells, rows, and columns Basic formulas: SUM, AVERAGE, COUNT, MIN, MAX Intermediate Skills VLOOKUP, HLOOKUP, IF, SUMIF, COUNTIF functions Sorting, filtering, and data validation Conditional formatting and named ranges Working with multiple sheets and workbooks Advanced Topics Pivot Tables and Pivot Charts Advanced formulas: INDEX-MATCH, IFERROR, NESTED IF Data analysis tools and What-If Analysis Macros and basic VBA introduction Dashboard creation for business reporting My Teaching Approach: I use real-world examples and live practice files so students learn by doing, not just watching. Each session is hands-on, and I provide notes and practice exercises after every class. Who I have taught: School and college students Job seekers preparing for interviews Office professionals looking to improve productivity

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Analytics classes

2

Teaching Experience in detail in Data Analytics classes

I have comprehensive experience teaching Data Analytics to students, fresh graduates, and working professionals who want to build a career in data-driven fields. My Data Analytics Training Covers: Foundation & Basics Introduction to Data Analytics and its real-world applications Types of data: structured, unstructured, and semi-structured Data collection, cleaning, and preprocessing techniques Understanding variables, data types, and statistical concepts Excel for Data Analytics Data cleaning and transformation using Excel Pivot Tables, Pivot Charts, and Slicers for analysis Statistical functions: AVERAGE, STDEV, CORREL, FORECAST Dashboard building and visual reporting in Excel SQL for Data Analytics Writing basic to advanced SQL queries Filtering, grouping, joining, and aggregating data Subqueries and window functions Extracting insights from relational databases Data Visualization Introduction to Power BI and Tableau Building interactive dashboards and reports Choosing the right chart for the right data Storytelling with data for business decisions Python for Data Analytics (Introductory) Pandas and NumPy for data manipulation Matplotlib and Seaborn for data visualization Exploratory Data Analysis (EDA) step by step Statistics & Analytics Concepts Descriptive vs inferential statistics Correlation, regression, and trend analysis Hypothesis testing basics KPI identification and metric tracking My Teaching Approach: Every session is project-based and hands-on. I use real datasets from industries like sales, finance, HR, and marketing so students can relate to what they are learning. I assign mini-projects after each module to reinforce concepts and build a strong portfolio. Who I Have Taught: College students pursuing BCA, MCA, MBA, and B.Tech Fresh graduates preparing for data analyst job roles Working professionals transitioning into data careers Business owners wanting to make data-driven decisions Tools & Technologies Covered: Microsoft Excel | SQL | Power BI | Tableau | Python (Pandas, NumPy) | Google Sheets

Class Location

Online class via Zoom

Student's Home

Tutor's Home