Data Analysis Bootcamp™ 21 Real World Case Studies Free Download. Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio
Table of Contents
Data Analysis Bootcamp™ 21 Real World Case Studies Description
Requirements
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Familiar with basic programming concepts
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Highschool level math knowledge
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Broadband Internet connection
ASP.NET Core MVC – Up and Running Part 2 (.NET 5)
What you’ll learn
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Understand the value of data for businesses
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The importance of Data Analytics
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The role of a Data Analyst
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Learn to use Python, Pandas, Matplotlib & Seaborn, Scikit-learn
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Learn Visualization Tools such as Matplotlib, Seaborn, Plotly and Mapbox
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Hypothesis Testing and A/B Testing – Understand t-tests and p values
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Unsupervised Machine Learning with K-Means Clustering
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Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests
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Advanced Pandas techniques from Vectorizing to Parallel Processsng
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Statistical Theory, Probability Theory, Distributions, Exploratory Data Analysis
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Ananlytic Case Studies involving Retail, Health, Elections, Sports, Resturants, Airbnb, Uber and more!
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Full Tutorial on Google Data Studio for Dashboard Creation
Who this course is for:
- Begineers to Data Anaysis
- Business Analysts who wish to do more with their data
- College graduates who lack real worlde experience
- Business oriented persons (Management or MBAs) who’d like to use data to enhance their skills
- Software Developers or Engineers who’d like to move into a Data Analyst Career
- Anyone looking to understand Data and uncover insights
- Those looking for a good foundation before starting a Data Science Masters/Bootcamp
Data Analysis Bootcamp™ 21 Real World Case Studies Free Download
Part 1: Google Drive – Onedrive
Part 2: Google Drive – Onedrive
Part 3: Google Drive – Onedrive
Content From: https://www.udemy.com/course/the-data-analyst-bootcamp/