Career Path

Becoming a Business Data Analyst

Name: Becoming a Business Data Analyst
Brand: CodeRed
Price: 199.00 USD
Availability: InStock

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

41 hr 28 m of video content

Beginner

Validation of Completion Included

Buy this course now

$199.00

Overview What You Will Learn Curriculum Instructor Student Reviews

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

Content

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

Content

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

Content

Chapter 1: Introduction to Statistics
Chapter 2: Deep Dive into Central Limit Theorem
Chapter 3: Applied Skewness and Kurtosis
Chapter 4: Applied Hypothesis Testing
Chapter 5: Feature Selection Using Applied Statistics
Chapter 6: Statistical Modeling
Chapter 7: Building Statistical Modeling

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 and Effect
Chapter 7: Understanding Project Pipeline
Chapter 8: Advance Clustering Techniques

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 Understanding and Insights
Chapter 2: Case Study 2: Analysis to Aid a Business Objective
Chapter 3: Next Steps

Content

Chapter 1: Getting Started with Business Intelligence
Chapter 2: Introduction to Business Intelligence Lifecycle
Chapter 3: Introduction to Business Intelligence Models, Tools & Technologies – Part 1
Chapter 4: Introduction to Business Intelligence Tools & Technologies – Part2
Chapter 5: What’s Next with Business Intelligence

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 8: DAX - The Essentials
Chapter 9: DAX - The CALCULATE Function
Chapter 10: Tell a Story with Your Data - Learn to Visualize Effectively
Chapter 11: Power BI Service - Power BI Cloud
Chapter 12: Row-Level Security
Chapter 13: More Data Sources
Chapter 14: Next Steps to Improve & Stay up to Date

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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.

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