Course Overview

Become a Business Data Analyst Without Spending a Fortune on Your Training!

What You Will Learn

  • Installing and setting up Tableau desktop
  • Understand what Tableau interface is and how it functions
  • Learn how to handle complex data in Tableau
  • Get hands-on applied statistics tools with different data sets
  • Get to know step by step process to build statistical model
  • Data Mining techniques and practical uses
  • How different industries uses data mining as a tool
  • Coding like a pro in Jupyter Notebook

Program Curriculum

Content
  • Chapter 1: Introduction
  • Chapter 2: Preparing Our Project
  • Chapter 3: Data Transformation - The Query Editor�
  • Chapter 4: Data Transformation - Advanced
  • Chapter 5: Nmap - Creating a Data Model
  • Chapter 6: Data Visualization
  • Chapter 7: Power BI & Python
  • Chapter

Content
  • Chapter 1: Getting Started with Tableau
  • Chapter 2: Handling Data in Tableau
  • Chapter 3: Built in Visuals and Beyond Show Me

Content
  • Chapter 1: Mastering Calculations in Tableau
  • Chapter 2: Create Your Own Dashboard

Content
  • Chapter 1: Introduction to Data Mining
  • Chapter 2: Essentials of Data Mining
  • Chapter 3: Analyzing Mining Technique and Algorithm
  • Chapter 4: Deep Dive into Clustering
  • Chapter 5: Deep Dive into Tree Classification
  • Chapter 6: Deep Dive into Handling Outlier an

Content
  • Chapter 1: Data Analytics in Tableau
  • Chapter 2: Visual Analytics in Tableau

Content
  • Chapter 1: Introduction to the Course
  • Chapter 2: Setting up the Environment
  • Chapter 3: Introduction to NumPy
  • Chapter 4: Introduction to Pandas
  • Chapter 5: Data Wrangling and Visualisation

Content

Chapter 1: Case Study 1: Data

Content

Content

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Instructor

Vivek Chaudhary chaudhary

Vivek Chaudhary currently works as a freelance data scientist and has worked with different product-based & EdTech startups. He has published one of the best-selling books on Amazon, �Data Investigation-EDA the right way�. His areas of expertise are applied statistics, EDA, data cleaning techniques, and feature engineering and process to building statistical models. According to him �Building Assumptions� is the important factor to apply statistical tools in real-time. If you can�t build assumptions, then no matter how much you learn at the end, it will be difficult to apply statistical techniques. He has mentored 200+ professionals to start their journey and helped them understand applied statistics & EDA.

Vivek Chaudhary chaudhary

Vivek Chaudhary currently works as a freelance data scientist and has worked with different product-based & EdTech startups. He has published one of the best-selling books on Amazon, �Data Investigation-EDA the right way�. His areas of expertise are applied statistics, EDA, data cleaning t

Nikolai Schuler

Ankit Shukla

Ankit Shukla

Avdhesh Gaur

Avdhesh Gaur

Avdhesh Gaur

Avdhesh Gaur

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  • Full Video Access
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Becoming a Business Data Analyst

Becoming a Business Data Analyst