Python for Data Scientists

The Python for Data Scientists training course is designed to introduce you to the Python programming language, which continues to gain popularity not only among developers, but also among data scientists due to its rich ecosystem for data manipulation, data analytics, and machine learning.

This course begins by covering the fundamentals of Python–including data structures, loops, and list comprehensions–then transitions into ways in which data scientists can leverage the expressive nature of the language for doing their daily work. Next, students will utilize the Python ecosystem to import and manipulate data, create summaries and exploratory visualizations, and perform standard hypothesis tests. Students will then learn to fit and evaluate regression models to data sets and create data visualizations. Finally, the course will cover basic machine learning methods, and, time permitting, we’ll cover dynamic visualizations.

Course Summary

Obtain a working knowledge of how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.
This course is designed for business analysts, data engineers, or working data scientists who don't possess knowledge of Python.
Skill Level: 
Learning Style: 

Hands-on training is customized, instructor-led training with an in-depth presentation of a technology and its concepts, featuring such topics as Java, OOAD, and Open Source.

Hands On help

Workshops are instructor-led lab-intensives focused on the practical application of technologies through the facilitation of a project-related lab. Workshops are just the opposite of Seminars. They deliver the highest level of knowledge transfer of any format. Think wide (breadth) and deep (depth).

Workshop help
3 Days
Productivity Objectives: 
  • Use Python to read, manipulate, and clean your data
  • Analyze and visualize your data using Python
  • Perform predictive analysis using basic machine learning models

What You'll Learn

In the Python for Data Scientists training course you’ll learn:

  • Introduction to the Anaconda Python Distribution
    • Understanding and using Jupyter notebooks
    • Understanding the data science and machine learning libraries that are included
  • Introduction to Python
    • Dynamic typing
    • Primitive datatypes
    • Looping/list comprehensions
    • Modules and packages
  • Introduction to Pandas
    • Datatypes
    • Importing data
      • CSV
      • Excel
      • SQL
    • Creating numerical summaries
    • Exploring data
    • Descriptive statistics
    • Basic probability distributions (Gaussian/normal, Poisson, Chi-Squared, binomial, exponential) including generating random numbers and finding critical values
    • Standard hypothesis testing, e.g., t-tests, z-tests, ANOVA, chi-square tests, as well as basic non-parametric tests like Wilcoxon signed-rank and rank-sum tests
    • Dummy variables
    • Linear regression
    • Logistic regression
    • Evaluating regression models
    • Simulating data from probability distributions
    • Permutation tests and the bootstrap
    • Creating publication-quality graphics
  • Introduction to SciKit-Learn
    • Supervised vs. Unsupervised learning
    • Classification vs. Regression
    • Linear Regression
    • Decision Trees
    • Support Vector Machines
    • Ensemble Models
    • Evaluating Models
    • Fine-Tuning Your Models

Get Custom Training Quote

We'll work with you to design a custom Python for Data Scientists training program that meets your specific needs. A 100% guaranteed plan that works for you, your team, and your budget.

Learn More

Chat with one of our Program Managers from our Boulder, Colorado office to discuss various training options.

DevelopIntelligence has been in the technical/software development learning and training industry for nearly 20 years. We’ve provided learning solutions to more than 48,000 engineers, across 220 organizations worldwide.

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