Data Analytics Course (Beginners)
1. Business Analytics Using Excel Basic and Advanced • Spreadsheet Formatting • Editing Features
Working with charts; basic database operations; data validations; sorting and filtering data; additional functions; formatting; formulas and functions; working with large datasets; and working with charts Using Reports; Using Templates; Using WhatIf Analysis Charts Data Analytics Course in Sanganer Jaipur
The following topics are covered in Python: • Python Fundamentals; • Python Data Types; • Program Flow Control; • Functions Declaration; • Modules and Packages; • Date and Time; • Random Library; • Strings and Dictionary Manipulations; • File handling; • Python Oops Python regular expression; Python exception handling; Python database interaction; Python multithreading; Python GUI design with tkinter; and Python web scraping
4. SQL • Using main key constraints to ensure uniqueness • Using foreign key constraints to enforce integrity
Using check constraints to enforce business rules and main key constraints to ensure uniqueness
• Using foreign key constraints to enforce integrity
• Establishing check limits and business rules
INSERT is used to add table rows, whereas UPDATE is used to modify row content.
• Eliminating rows that have
COMMIT and ROLLBACK DELETE are used to control transactions; SELECT is used to retrieve data; ORDER BY is used to sort the results; wildcard characters are applied; UNION is used to stack results; and equality or inequality is tested.
• Dealing with NULL values; • Using SUM, AVG, and COUNT to summarize data; • Using EXCEPT to identify nonmatching rows; • Using the CASE expression for conditional formatting; • Using the CASE expression to emulate IF tests;
2. Training Course for Microsoft Power BI
Describe the Power BI EcoSystem and Gain an Understanding of It Describe Power BI and how it relates to Microsoft Excel.Talk about the Power BI product suite.Explain the integration of the Power BI products. Describe the Normal Process Flow in Analytics
Data Analytics Course in Sanganer Jaipur
Use Power Query to Put Your Data Presentation Skills to Use • Recognize the Different Data Sources • Link Power BI to an Information SourceData should be cleaned and transformed to guarantee data quality.Fill the Power BI Data Model with the data.
Use the Power BI Desktop to generate and format reports.Explain the Use of Templates and Page BackgroundsMake data visualizations to show the information.Apply the drill down and through.Utilize filters to create and manage slicers and investigate visual interactions.
Utilize the Power BI Service to create and format visuals.
• Create more reports using the Power BI Service.
•Create a Power BI Mobile Dashboard; compile and configure reports into a dashboard;Include a report with Quick Insight Results; use and implement Q&A Visual
To improve the Power BI Data Mode, create simple DAX expressions; describe DAX formulas and their uses; and talk about DAX best practices. Describe the rules of syntax. Make simple calculated measurements and columns. Talk about the Row and Filter Context. Use common DAX expressions like sum, filter, and so forth. Talk about the functions of time intelligence.
