Data Analysis Bootcamp™ 21 Real World Case Studies

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

Familiar with basic programming concepts
Highschool level math knowledge
Broadband Internet connection

ASP.NET Core MVC – Up and Running Part 2 (.NET 5)

What you’ll learn

Understand the value of data for businesses
The importance of Data Analytics
The role of a Data Analyst
Learn to use Python, Pandas, Matplotlib & Seaborn, Scikit-learn
Learn Visualization Tools such as Matplotlib, Seaborn, Plotly and Mapbox
Hypothesis Testing and A/B Testing – Understand t-tests and p values
Unsupervised Machine Learning with K-Means Clustering
Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests
Advanced Pandas techniques from Vectorizing to Parallel Processsng
Statistical Theory, Probability Theory, Distributions, Exploratory Data Analysis
Ananlytic Case Studies involving Retail, Health, Elections, Sports, Resturants, Airbnb, Uber and more!
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