Udemy – Data Analysis Bootcamp™ 21 Real World Case Studies 2025-11

Updated August 10, 2026 5.73 GB

Download

File password: www.downloadly.ir

About this item

Descriptions

Data Analysis Bootcamp™ 21 Real World Case Studies, Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. In the last two decades, the pervasiveness of the internet and interconnected devices has exponentially increased the data we produce, making the amount of available data overwhelming and unprecedented. Obtaining, transforming, and gaining valuable insights from this data is quickly 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 gain an edge in your career and everyday life. You’ll learn to see through the noise in data and explain it to others, making you invaluable in any career. We examine over two dozen real-world data sets and show how to obtain meaningful insights, guiding you through a comprehensive learning path using modern tools like Python, Google Colab, and Google Data Studio. You’ll learn to create dashboards, tell stories with data and visualizations, make predictions, analyze experiments, and more, covering everything from the importance of data analytics and Python basics to machine learning, visualization, and practical case studies in business, health, sports, and more.

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