Data Analysis Bootcamp™ 21 Real World Case Studies

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

4.54 (1080 reviews)

Udemy

platform

English

language

Data & Analytics

What you will 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

Why take this course?

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, transforming 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 experiments 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 Lifetime Values
Time Series Forecasting - Demand/Sales Forecast
Airbnb Sydney Exploratory Data Analysis
A/B Testing

Screenshots

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Reviews

Pratiksha

March 26, 2023

The instructor scrolls up and down the Jupyter notebook a lot, causing a lapse of concentration among the viewers and ultimately confusion.

Kumar

November 1, 2022

Just reading from the slides and notebook ,don't buy the course and save the time and money. What are you trying to convey?

Rodrigo

September 18, 2022

I swear to God, if I hear "that's pretty cool"/"that's cool" one more time, I'll jump out the window. :)

Dilnoza

September 4, 2022

Section 4.18. The author notes that axis=0 for columns and axis=1 for rows. It's the opposite: “axis 0” represents rows and “axis 1” represents columns. The I'm not convinced if the author knows what he's teaching((

Oğuz

June 21, 2022

I think the course is very well. Firstly, when i bought this course, i thought google data studio and python would be related. It is not related. Each topic is diffirent. Secondly, how to use python api for data visualization could be shown in tools like facebook, google. Finally, I like last topic. Because, flourish has been explained. The data is beautifully visualized. I'm wondering this, In real-time applications, how is the data captured instantly and the data visualization process is done there? During the course, constant data analysis was made.

Brandon

January 17, 2022

Good overview of basic Pandas functions. Need to get a list of "all" of them and bookmark the ones I think I will use the most.

Vinayak

January 10, 2022

Some suggestions are as follows: 1. Divide the learning part and use case sections 2. Make the content more engaging Overall a good course with practical example, but can be improved

Augusto

November 24, 2021

It's is ok, but almost all the time he's reading the slides and the code. It's interesting but not enjoyable.

Pedro

November 8, 2021

Excellent course. Super complete. After some previous courses, and models, I could reinforce my understanding in several topics thanks to their explenaitions during lectures. Also excellent materials provided such as slides ando python notebooks to explore and make our own experience

Erik

September 15, 2021

Good course, covers a lot of concepts. Could be better organized, as it seems to be an assembly of videos from other course. Could say the same with the videos themselves with the instructor getting lost at points, but overall quite good. Just a side note, maybe try less wild scrolling, makes it hard to watch and try to integrate some quizzes and more homework

Benjamin

July 28, 2021

Amazing course with a lot of theory and useful examples. The theory is boiled down to what is really needed for the later application and backed up with interesting examples. At first I felt a bit discouraged by the length of the course, but it actually went by pretty quickly due to the interesting content.

Ramprasath

June 9, 2021

The course is really indepth so far. Highly recommended. If you are looking to start with quick basics, then dial in deep into data analytics, this is the course for you.

Kumar

March 26, 2021

Extremely awful experience. Neither the tutor is properly audible nor he is explaining things properly. For instance: He imports a file from GitHub to do some actions, now what the file is, how can we do something on it, how to write the code? nothing is clear. He just reads out the code he has written already. Sheer waste of time.

Jainam

March 5, 2021

Case Studies should be explained properly ,if we only wanted to read code we could have used another platform

Kim

February 26, 2021

The content of the course was amazing the structure especially towards the end confusing as of the 21 cases presented only 5 had a walkthrough

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