Introduction to Data Science in Python (training)

Colleagues, in the “Introduction to Data Science in Python” training you will understand techniques such as lambdas and manipulating csv files, describe common Python functionality and features used for data science, query DataFrame structures for cleaning and processing, and explain distributions, sampling, and t-tests. You will gain high-demand skills in Python Programming, Numpy, Pandas, and Data Cleansing. It introduces learners to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. Skill-based training modules include: 1) Fundamentals of Data Manipulation with Python, 2) Introduction to Data Science in Python, 3) Basic Data Processing with Pandas, 4) More Data Processing with Pandas, and 5) Answering Questions with Messy Data.

Enroll today (teams & executives are welcome): https://imp.i384100.net/Z66ZZz 

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)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

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