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Data Analysis Bootcamp™ 21 Real World Case Studies

Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio
4.1
☆☆☆☆☆ 4.1/5
(749 reviews)
6,683 students
Created by
Rajeev D. Ratan

9.2

Classbaze Grade®

9.3

Freshness

7.9

Popularity

9.9

Material

Detailed Analysis »

Gain Business Intelligence Skills using Statistics
Go to course »
Platform: Udemy
Price: check current price
Video: 21h 6m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.3 / 10
This course was last updated on 9/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.9 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.9 / 10
Video Score: 10.0 / 10
The course includes 21h 6m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Udemy.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
4 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the 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

What can you learn from this course?

✓ 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

What you need to start the course?

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

Who is this course is made 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

Are there coupons or discounts for Data Analysis Bootcamp™ 21 Real World Case Studies ? What is the current price?

The course costs $19.99. And currently there is a 82% discount on the original price of the course, which was $109.99. So you save $90 if you enroll the course now.
The average price is $8.1 of 559 Data Analysis courses. So this course is -147% cheaper than the average Data Analysis course on Udemy.

Will I be refunded if I'm not satisfied with the Data Analysis Bootcamp™ 21 Real World Case Studies course?

YES, Data Analysis Bootcamp™ 21 Real World Case Studies has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Data Analysis Bootcamp™ 21 Real World Case Studies course, but there is a $90 discount from the original price ($109.99). So the current price is just $19.99.

Who will teach this course? Can I trust Rajeev D. Ratan?

Rajeev D. Ratan has created 8 courses that got 8,005 reviews which are generally positive. Rajeev D. Ratan has taught 53,112 students and received a 4.4 average review out of 8,005 reviews. Depending on the information available, we think that Rajeev D. Ratan is an instructor that you can trust.

Learn everything about

Rajeev D. Ratan

Data Scientist, Computer Vision Expert & Electrical Engineer
Hi I’m Rajeev, a Data Scientist, and Computer Vision Engineer.  
I have a BSc in Computer & Electrical Engineering and an MSc in Artificial Intelligence from the University of Edinburgh where I gained extensive knowledge of machine learning, computer vision, and intelligent robotics.   
I have published research on using data-driven methods for Probabilistic Stochastic Modeling for Public Transport and even was part of a group that won a robotics competition at the University of Edinburgh. 
I launched my own computer vision startup that was based on using deep learning in education since then I’ve been contributing to 2 more startups in computer vision domains and one multinational company in Data Science.
Previously, I worked for 8 years at two of the Caribbean’s largest telecommunication operators where he gained experience in managing technical staff and deploying complex telecommunications projects.
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9.2

Classbaze Grade®

9.3

Freshness

7.9

Popularity

9.9

Material

Detailed Analysis »

Gain Business Intelligence Skills using Statistics
Go to course »
Platform: Udemy
Price: check current price
Video: 21h 6m
Language: English
Next start: On Demand

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