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

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.

Nikolai Schuler

Nikolai Schuler is a data scientist and BI consultant. While going through hours of research and training, Nikolai came up with the idea of creating a course that would offer extremely valuable content but that would be at the same time easy to follow due to its structure. His goal is to help as many people as possible to pursue their desired career in this new Digital Age by enabling them to upgrade their data analysis skills. I am proud to say that he is heading in the right direction as his courses have already found their audience in over 170 countries and received thousands of positive feedbacks.

Ankit Shukla

Ankit Shukla is a self-taught data scientist working in the data space since 2014. He is well versed in deep learning, machine learning and Big Data technologies and holds a bachelor’s in engineering from Birla Institute of Technology, Mesra with a major in Biotechnology. His focus areas include Predictive Modelling, Recommender Systems and Natural Language Processing. He is deeply passionate about data science and is always on a look out to give back to the community. His other published works include a paper on developing an enterprise recommender system, 2 papers on Generative Adversarial Networks and the book - Big Data Analysis with Python.

Avdhesh Gaur

Avdhesh Gaur is a Data Analyst, instructor, author, storyteller, speaker, and consultant as well when it comes to bringing insights out of data and visualizing the same. His career spans more than 7 years with a focus on taking down various business requirements by building Data-driven BI models using Tableau, SQL, Hive, and numerous Statistical data analysis Techniques. Avdhesh Gaur got one of his submissions to Tableau accepted on 7th January 2019. On average, only 1 out of every 10000 tableau public profile holders can achieve this feat marking him under the top 0.01% of the profound Tableau Authors, when it comes to creating efficient dashboards with tableau. Even though, He has authored numerous courses covering the fundamentals of data visualization. There was a time when he couldn't figure out, what’s something new that he can do tomorrow. That's why he feels immense joy in creating and sharing the content that can help us learn something new each day. LinkedIn: https://www.linkedin.com/in/avdheshgaur/ Tableau Public: https://public.tableau.com/profile/avdhesh.gaur

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Becoming a Business Data Analyst

Becoming a Business Data Analyst