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

This Course Includes
coursera
4.6 (2.6K reviews )
2 months at 10 hours a week
english
Online - Self Paced
specialization
IBM
About Data Science Fundamentals with Python and SQL Specialization
Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from IBM
What You Will 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.