Tools for Data Science (IBM)

Colleagues, the “Tools for Data Science” program from IBM will equip you to describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools, utilize languages commonly used by data scientists like Python, R, and SQL, demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features, and create and manage source code for data science using Git repositories and GitHub. Gain high-demand skills in Data Science, Python Programming, Github, Rstudio and Jupyter notebooks. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations.  Skill-based training lessons include: 1) Overview of Data Science Tools, 2) Languages of Data Science, 3) Packages, APIs, Data Sets, and Models, 4) Jupyter Notebooks and JupyterLab, 5) RStudio & GitHub, 6) Create and Share your Jupyter Notebook, and 7)  IBM Watson Studio. 

Enroll today (teams & executives are welcome): http://imp.i384100.net/21Gr3A 

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)