Build the Foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets.

Instructors: Murtaza Haider +7 more

What you'll learn

  •   Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
  •   Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
  •   Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
  •   Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables

    • Skills you'll gain

    Specialization - 5 course series

    Using SQL to query census, crime, and demographic data sets to identify causes that impact enrollment, safety, health, and environment ratings in schools

    Python for Data Science, AI & Development

    Python Project for Data Science

    Statistics for Data Science with Python

    Databases and SQL for Data Science with Python

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