Data Science Fundamentals with Python and SQL Specialization

Colleagues, in the “Data Science Fundamentals with Python and SQL Specialization” you will develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets. Gain skills with: 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. You will acquire high-demand skills with Data Analysis, Probability and Statistics, Python Programming, General Statistics, Mathematical Theory and Analysis, Statistical Programming, Data Visualization, and Computer Programming. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. This program is ACE® recommended—when you complete, you can earn up to 8 college credits. Training lessons address: 1) Tools for Data Science, 2) Python for Data Science, AI & Development, 3) Python Project for Data Science, 4) Statistics for Data Science with Python, and 5) Databases and SQL for Data Science with Python. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/R5q1Xy  

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)