Become a certified data master with our live, online, instructor-led training. We use live code, real-world data sets and Jupyter notebooks so our instructors can help you with your models in real time.

Pragmatic Data Curriculum

     Essential Data Tools      Practical Machine Learning      Advanced Machine Learning      AI with TensorFlow      Intro to Python

Essential Tools

Americans use more than 3 million GB of internet data every minute. It’s essential that companies have the right data science tools and techniques to take on the competition. Whether you've dabbled in data science over the years or are a complete novice, having the right skills can make all the difference to your job and your company.

Essential Data Tools
 is a hands-on exploration of the fundamentals of data science. You'll learn to create scripts to perform data analysis and manipulation, product visualizations and more. With your improved knowledge of programming in Python for data analysis, you'll be able to dive into your data and uncover greater insights, automate tedious tasks and encourage data-driven decision making. 

Download a copy of the syllabus to convince your manager the importance of this course
Business Benefits

Data science is changing the way business is done. Gain the tools and knowledge you need to answer more complicated business questions and uncover greater insights. Automate tedious and time-consuming tasks so you can focus on enhancing your products and your company. Move beyond the limits of traditional spreadsheet applications, learn to showcase your expanded results in clear and understandable visual formats and get a head start in this in-demand field.

 Who Should Attend

Analysts and related positions who have reached the limits of spreadsheets and desire to expand, as well as those interested in pursuing a career in data science

 Key Concepts Covered

Python and relevant packages, data analysis and manipulation, automation of tasks and programs


To achieve the greatest benefit from this course, students should have the following skills:

  • Basic boolean algebra, such as concepts of “or” and “and”
  • Understanding of conditional statements
  • Basic statistical definitions (mean, median, mode)
  • Basic linear algebra (matrices, arrays)
  • Common file formats like Comma Separated Values (CSV)
  • Basic familiarity with Python or a similar scripting language/program highly encouraged
Earn a coveted data science certification upon successful completion of class project
What You'll Learn
Get your hands dirty with live code and real programs you can use to build your own models. Download the technical brief.

Essentials of Python
for data science
  • Construct variables in Python and understand commonly used data structures like lists and dictionaries
  • Perform iterations in Python to easily apply a process over multiple values
  • Encapsulate a process into a function to streamline and reduce repetition
  • Utilize if/else statements to handle various cases and conditions
  • Understand string data types and common operations applied to strings
  • Express complicated pattern matching using regular expressions to find and replace text

Object-oriented programming (OOP) and NumPy and Pandas Python packages
  • Understand how OOP is implemented and used throughout Python and its packages
  • Use NumPy ndarray data structures for fast, multidimensional numerical operations
  • Utilize Pandas’ data structures and easily load CSV and Excel files as Pandas dataframes
  • Combine tables across multiple spreadsheets into one dataframe
  • Easily handle missing entries/data with Pandas, and utilize multiple methods to replace the missing values

Advanced techniques with Pandas and task automation
  • Use grouping operations in Pandas to create groups within a dataframe and apply operations like aggregating functions to those groups
  • Use NumPy functions in Pandas and understand the connection between them
  • Utilize manipulation and analysis tools in Pandas for times series
  • Up and down sample time series to change frequency, and understand time series transformations like rolling and moving window statistics
  • Visualize data analysis results using Matplotlib for line plots, scatter plots and histograms, and Seaborn for advanced statistics-focused plots

Ready to take on the future of data?

Pricing and Registration

Online Training
$1,495 USD
For the Online Course

Private Training

Prefer a private training, tailored for and delivered
specifically to your company?

Contact our account team for pricing and availability.


Netflix pragmatic live

How does someone become a modern-day data scientist for one of the biggest digital companies in the world?

Check out this podcast featuring Becky Tucker, Ph.D., senior data scientist at Netflix. See how she got her start and wound up at the world’s largest streaming service. Listen now

Read more about what other students have done with their data science education on our sister company site:

Pragmatic Institute’s Essential Data Tools course was the perfect combination of introductory information and challenging projects to apply your skills to several real-world style projects. The knowledgeable instructor was familiar with the complications of data mining and was friendly and helpful when we needed assistance with our code. I highly recommend Pragmatic Institute’s data science courses to professionals needing to take their data analysis skills to a higher level.
- Ryan Ozias, Business Intelligence Developer, HonorHealth

Learn more about our entire data science curriculum