Training

Statistics Essentials

• Introduction
• The Fundamentals of Descriptive Statistics
• Measures of Central tendency, asymmetry, and variability
• Practical Examples: Descriptive Statistics
• Distributions
• Estimators and Estimates
• Confidence Intervals: Advanced Topics
• Practical Examples: Inferential Statistics
• Hypothesis Testing: Introduction
• Practical Example: Hypothesis Testing
• Fundamentals of Regression Analysis
• Practical Example: Regression Analysis
• Dealing with Categorical Data

SQL Basics

• Relational Database Management System Introduction
• SQL Introduction
• DDL(Data Definition Language)
• DML(Data Manipulation Language)
• DQL(Data Query Language)
• Transaction Control
• Creating Database Objects and Adding Business Logic

Python for Data Science

• Python Basics
• Python Data Structures
• Python Pandas
• Python NumPy
• Python Matplotlib & Seaborn
• Basic Visualization Tools
• Specialized and Advanced Visualization Tools
• Creating Maps and Visualizing Geospatial Data

Business Analytics with Excel

• Introduction to Business Analytics
• Formatting Conditional Formatting and Important Functions
• Analysing Data with Pivot Tables
• Dashboarding
• Business Analytics with Excel
• Data Analysis using Statistics
• Power BI

Tableau Desktop 10

• Getting Started with Tableau
• Working with Tableau
• Deep Dividing with Data and Connections
• Creating Charts
• Adding Calculations to your Workbook
• Mapping Data in Tableau
• Dashboards and Stories
• Visualizations for an Audience

Power BI

• Introduction to Power BI
• Power BI Desktop
• Data Analysis Expressions (DAX)
• Data Visualization
• Power BI Q & A and Data Insights
• Direct Connectivity
• Power BI Report Servers
• Advanced Analytics in Power BI using Python