Data Analysis Bootcamp™ 21 Real World Case Studies

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

Created by: Rajeev D. Ratan
Data Scientist, Computer Vision Expert & Electrical Engineer

Created by: Nidia Sahjara, AI/ML Engineer | Lonely Pineapple AI Labs
Machine Learning Engineer | NLP Researcher

What Will I 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

Requirements

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

Target audience

• 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