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Data Analytics Course (Beginners)

1. Business Analytics With Basic + Advance Excel

  • Formatting a Spreadsheet
  • EditingFeatures
  • Working with Charts
  • Simple DatabaseOperations
  • Data Validations
  • Sorting and Filtering Data
  • More Functions
  • Formatting
  •  Formulas and Functions
  • Working with Charts
  • Working with Functions
  • Working with Large
  • Worksheets Working with Templates
  • Working with Reports
  • WhatIf Analysis Charts

2. Microsoft Power BI Training Course

Understanding the Power BI EcoSystem

  •  Describe the Power BI EcoSystem
  •  Define Power BI and its Relationship with MS EXcel
  • Discuss the Power BI Suite of Products
  • Describe how the Power BI Products Integrate
  •  Explain theTypical Analytics Process Flow

Apply Data Presentation Skills Using Power Query

  • Differentiate between the Various Data Sources
  •  Connect Power BI to a Data Source
  • Clean & Transform data to Ensure Data Quality
  • Load the Data to the Power BI Data Model

Create and Format Reports using the Power BI Desktop

  • Describe the Use of Page Backgrounds and Templates
  • Create visualizations to Display the Data
  • Apply Drill through and Down
  • Create and Manage Slicers with the Use of Filters
  • Explore Visual Interactions

Create and Format Visualizations using the Power BI Service

  • Build Additional reports in the Power BI Service
  • Compile and Configure Reports into a Dashbord
  •  Construct a Power BI Mobile Dashbord
  • Add Quick Insight Results a Report
  • Implement and use Q&A Visual

Create Basic DAX Expressions to Enhance the Power BI Data Mode

  • Define DAX Formulas and Their Applications
  • Discuss DAX Best Practices Explain Syntax Rules
  •  Create Basic Calculated Columns and Measures
  •  Discuss Row and Filter Context
  •  Apply Common DAX Expressions Such as Filter, Sum, etc
  •  Discuss Time Intelligence Functions

3. Python

  • Basics of Python
  • Data Types in python
  • Program Flow Controlpython
  • Functionsdeclaration in python
  • Modules and Packages in python
  • Date and time in python
  • Random library in python
  • Strings and Dictionary Manipulations in python
  • File handling in python
  • Oops with python Regular Expression in python
  • Exception handling in python
  • Database Interaction using python
  • Multithreading in python
  • GUI design using tkinter
  • Web scrapping in python

4. SQL

  • Guaranteeing uniqueness with primary key constraints
  • Enforcing integrity with foreign key constraints
  • Imposing business rules with check constraints
  • Guaranteeing uniqueness with primary key constraints
  • Enforcing integrity with foreign key constraints
  • Imposing business rules with check constraints
  • Adding table rows with INSERT
  • Changing row content with UPDATE
  • Removing rows with
  • Controlling transactions with COMMIT and ROLLBACK DELETE
  • Retrieving data with SELECT
  • Specifying column expressions
  • Sorting the result with ORDER BY
  • Testing for equality or inequality
  • Applying wildcard characters
  • Stacking results with UNION
  • Identifying matching rows with INTERSECT rows
  • Utilizing EXCEPT to find nonmatching
  • Conditional formatting with the CASE expression
  • Utilizing the CASE expression to simulate IF tests
  • Dealing with NULL values
  • Summarizing data using SUM, AVG and COUNT
  • Finding the highest/lowest values with MAX and MIN
  • Defining the summary level with GROUP BY
  • Applying filter conditions with HAVING
  • Placing subqueries in the column list
  • Creating complex expressions containing subqueries
  • Handling subqueries that return no rows
  • Subqueries in the FROM clause

5. Google Sheet

6. Chat GPT

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