The Data Analyst Bootcamp™ 21 Real World Case Studies
Learn Statistics, Hypothesis Testing, Data Wrangling, Visualization & Dashboards with Google Data Studio and more!
Created by Rajeev D. Ratan, Nidia Sahjara | 15 hours on-demand video 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 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.
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
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