Data Analysis Bootcamp™ 21 Real World Case Studies

Category: Tutorial

Posted on 2021-11-22, by raymanhero.


Data Analysis Bootcamp™ 21 Real World Case Studies
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Created by: Rajeev D. Ratan, Nidia Sahjara


Ananlytic Case Studies involving Retail, Health, Elections, Sports, Resturants, Airbnb, Uber and more!

Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio 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

Full Tutorial on Google Data Studio for Dashboard Creation


Familiar with basic programming concepts

Highschool level math knowledge

Broadband Internet connection


Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. Many believe this will be the job of the future and be the single most important skill a job application can have in 2020.

In the last two decades, the pervasiveness of the internet and interconnected devices has exponentially increased the data we produce. The amount of data available to us is Overwhelming and Unprecedented. Obtaining, transfog and gaining valuable insights from this data is fast becoming the most valuable and in-demand skill in the 21st century.

In this course, you'll learn how to use Data, Analytics, Statistics, Probability, and basic Data Science to give an edge in your career and everyday life. Being able to see through the noise within data, and explain it to others will make you invaluable in any career.

We will examine over 2 dozen real-world data sets and show how to obtain meaningful insights. We will take you on one of the most up-to-date and comprehensive learning paths using modern-day tools like Python, Google Colab and Google Data Studio.

You'll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze expents and more!

Our learning path to becoming a fully-fledged Data Analyst includes:

The Importance of Data Analytics

Python Crash Course

Data Manipulations and Wrangling with Pandas

Probability and Statistics

Hypothesis Testing

Data Visualization

Geospatial Data Visualization

Story Telling with Data

Google Data Studio Dashboard Design - Complete Course

Machine Learning - Supervised Learning

Machine Learning - Unsupervised Learning (Clustering)

Practical Analytical Case Studies

Google Data Studio Dashboard & Visualization Project:

Executive Sales Dashboard (Google Data Studio)

Python, Pandas & Data Analytics and Data Science Case Studies:

Health Care Analytics & Diabetes Prediction

Africa Economic, Banking & Systematic Crisis Data

Election Poll Analytics

Indian Election 2009 vs 2014

Supply-Chain for Shipping Data Analytics

Brent Oil Prices Analytics

Olympics Analysis - The Greatest Olympians

Home Advantage Analysis in Basketball and Soccer

IPL Cricket Data Analytics

Predicting the Soccer World Cup

Pizza Resturant Analytics

Bar and Pub Analytics

Retail Product Sales Analytics

Customer Clustering

Marketing Analytics - What Drives Ad Performance

Text Analytics - Airline Tweets (Word Clusters)

Customer Life Values

Series Forecasting - Demand/Sales Forecast

Airbnb Sydney Exploratory Data Analysis

A/B Testing

Who this course is for:

Beers 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 Eeers 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

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