Training

Business Intelligence & Data Analytics

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

Related Posts

₹5000.00

5 days to left

Course Instructor

user

Trilochan Tarai

Over 10 year experience

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