In 30 min or less you will learn how to use Histograms, Box Plot and Descriptive Stats to make data driven decisions.
Learn hypothesis testing to improve your data science, data analytics and statistics skills
Applying Python Variables, Lists, NumPy, Pandas & Matplotlib to Data Science on Jupyter Notebook
In this course you will build a demand forecasting solution in R using concepts from Stats, Economics and Supply Chain
Learn the basics of Data Cleaning, Data Engineering, Data Visualization, Data Exploration and Data Modelling.
In this course you will learn how to clean data through 5 follow along examples including the Titanic Data set.
