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Python Primer for Data Science and Machine Learning | Hands-on Technical Overview

Python for Data Science Primer is a two-day Python training course that introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming...

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$1,895 USD
Duration 2 days
Course Code TTPS4872
Available Formats Classroom, Virtual

Overview

Python for Data Science Primer is a two-day Python training course that introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it’s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.

The course begins with quick overview of Python, with demonstrations of both script-based and web notebook-based Python, and then dives into the essentials of Python necessary to a data scientist. The tail end of the course explores a quick integration of these skills with key Data Science libraries including NumPy, Pandas and Matplotlib. This class is hands-on and includes light programming labs that introduce students to basic Python syntax and concepts applicable to using Python to work with data.

  • NOTE: Students heading into real project work right after training might consider a more robust hands-on course with deeper topics and lab coverage for similar subjects, such as the TTPS4873 Introduction Python for Data Science

Skills Gained

Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):

  • How to work with Python interactively in web notebooks
  • The essentials of Python scripting
  • Key concepts necessary to enter the world of Data Science via Python

Who Can Benefit

This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.

Prerequisites

Students should have skills at least equivalent to the following course(s) or should have attended as a pre-requisite:

  • Understanding Data Science | A Technical Overview – 1 day (helpful but not required)
  • Working with Excel (helpful, but not required)

Course Details

Course Agenda

An Overview of Python

  • Why Python?
  • Python in the Shell
  • Python in Web Notebooks (iPython, Jupyter, Zeppelin)
  • Demo: Python, Notebooks, and Data Science

Getting Started

  • Using variables
  • Builtin functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters

Flow Control

  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits

Sequences, Arrays, Dictionaries and Sets

  • About sequences
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator Expressions
  • Nested sequences
  • Working with Dictionaries
  • Working with Sets

Working with files

  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  • Reading and writing raw (binary) data

Functions

  • Defining functions
  • Parameters
  • Global and local scope
  • Nested functions
  • Returning values

Essential Demos

  • Sorting
  • Exceptions
  • Importing Modules
  • Classes
  • Regular Expressions

The standard library

  • Math functions
  • The string module

Dates and times

  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data

Python and Data Science

  • Data Science Essentials
  • Pandas Overview
  • NumPy Overview
  • SciKit Overview
  • MatPlotLib Overview
  • Working with Python in Data Science
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Schedule

4 options available

  • May 12, 2025 - May 13, 2025 (2 days)
    Virtual | 10:00 AM 6:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |10:00 AM 6:00 PM EDT
    Virtual | 10:00 AM 6:00 PM EDT
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  • Jul 14, 2025 - Jul 15, 2025 (2 days)
    Virtual | 10:00 AM 6:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |10:00 AM 6:00 PM EDT
    Virtual | 10:00 AM 6:00 PM EDT
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    Enroll Add to quote
  • Sep 8, 2025 - Sep 9, 2025 (2 days)
    Virtual | 10:00 AM 6:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |10:00 AM 6:00 PM EDT
    Virtual | 10:00 AM 6:00 PM EDT
    Enroll
    Enroll Add to quote
  • Dec 8, 2025 - Dec 9, 2025 (2 days)
    Virtual | 10:00 AM 6:00 PM EDT
    Language English
    Select from 1 options below
    Virtual |10:00 AM 6:00 PM EDT
    Virtual | 10:00 AM 6:00 PM EDT
    Enroll
    Enroll Add to quote

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Good Course. We covered a lot of material in a short amount of time. This course had useful labs that built upon each other.

It was very informative and covered all the required materials along with handson labs for practice.

I think the platform is very good and look forward to taking my next course in early October.

Easy to use and exactly what I was looking for. Value for money was exceptional.

Very good company. I've done technical trainings at their facility in downtown Montreal in the past and I'Ve always appreciated them.