Data Analytics Course

Our Data Analytics certification course objective is to develop a foundational understanding of data types, sources, and quality. Participants will learn techniques for data collection, cleansing, and preparation, and apply statistical methods to interpret data and draw insights.

They will also create effective visual representations of data using various tools. The course emphasizes applying data analytics to real-world scenarios and business problems, ensuring practical, hands-on experience. This comprehensive approach equips learners with the necessary skills to analyze data effectively and make data-driven decisions in their professional roles.

Data Analytics Course Syllabus:

• Introduction to Data Analytics
• Data Analytics in various domains
• Data types and Data sources
• Data Analytics tools and technologies
• Statistics
• Calculus
• Measure of Central Tendency
• Probability
• Testing Hypothesis
• Microsoft Excel
• Excel Tables and subtotals
• Excel Lookups
• Excel pivot table
• Pivot Table - Formatting data
• Pivot Table - Sorting, Filtering and grouping
• Pivot table calculated & fields
• Visualizing data with excel pivot
• SQL Basics
• DDL,DML,DCL,TCL Commands
• Constraints, Row Functions, Group/Aggregate Functions
• SubQueries, Analytic Functions, Set Operators
• Joins, Views, Index, Synonyms & Sequence
• Tableau
• How to install tableau and create first Visualization
• How to use Calculated Fields and Bins in Tableau
• How to create visualization in Tableau
• How to use joins in Tableau
• Full project in Tableau
• PowerBI
• How to install PowerBi and create first Visualization
• Connect to various data source
• Data Modelling in Power BI
• Power query for data transformation
• How to use DAX in powerBi, how to use drill down
• Reports and Visualization in Power BI
• Full project in powerBI
• Python
• Introduction to Python and installation
• Python Fundamentals
• Python - functions, Modules & Packages
• Data analysis – pandas,NumPy, matplotlib & Seaborn
• Introduction of machine learning and actions