Python for Data Science

at Practical Programming - The Loop

Course Details
$1,250 3 seats left
Start Date:

Sat, Jan 04, 10:00am - Jan 25, 3:00pm (4 sessions)

The Loop, Downtown/Loop
29 E Madison, 16 Fl. Suite 1620
S Wabash Ave
Chicago, Illinois 60602
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Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 7
Teacher: Thalo Menninga

What you'll learn in this data science course:

Our program serves as the foundation for many well-known concepts of data science. We teach practical techniques and algorithms for extracting and studying useful knowledge from data.

This course is not a theory class as we believe there are many ways to learn statistics and analytics concepts on your own. We are providing students with a set of practical tools for data science and knowledge on how to apply Python to solve linear algebra, statistics, and probability problems. 

This course is designed to fill the gap between theoretical academic research and the needs of the industry. We will start with a crash course on the basics of the Python programming language and then learn how to use Python to turn raw data into insight and knowledge.  

What to expect from this program: 

Fundamental introduction to Data Science using Python programming language, practical application of different statistical, analytical and linear algebra models to a variety of data science projects, and feeling comfortable enough to apply acquired knowledge on your own seeking a junior data scientist position.

How this program is organized: 

Lecture on new topics takes about 90 minutes. After lecture, students start working on new exercises with instructor guidance. Around 1.00pm students present and discuss their work with instructors, learn alternative solutions, and best practices from instructors and invited data scientist professionals.  

You will learn: 
  • Discover best practices for data analysis and start on the path to becoming a data scientist 
  • Learn and practice essential tools for data analytics: NumPy, Pandas and Matplotlib 
  • Learn to find solutions to problems by analyzing data using appropriate tools 
  • Master your analytical skills by working on real life projects 
  • Implement the core Data Science techniques of Linear Algebra, Probability, Gradient Descent, and Linear Regression 
  • By the end of this course, you will have a Data Analytics Project to present to potential employers 

Preparation: Laptop

Python for Data Science Syllabus:

Session 1
  • Variables
  • Data types: strings, integers, floats, lists
  • Mutability
  • Control Flow statements
  • If statements
  • For loopsPractical
  • Exercises 

Session 2
  • Functions
  • Data types: tuples, dictionaries, sets
  • While loops
  • Indexing and slicing
  • Reading from CSV and TXT Files
  • Writing to CSV and TXT Files
  • Analyzing a File’s content
  • Practical Exercises
Session 3
  • Scientific computing with Python
  • NumPy Arrays
  • Creating and manipulating NumPy Arrays
  • Computation on NumPy Arrays
  • Broadcasting and UFuncs
  • Sorting and Indexing NumPy Arrays
  • Practical Exercises
Session 4
  • Python Data Analysis Library - Pandas
  • Pandas Data structures
  • Aggregating data in Pandas
  • Data Indexing and Selection
  • Logic, Control Flow and Filtering in Pandas
  • Aggregation and Grouping
  • High-Performance Pandas
  • Visualization with Matplotlib
  • Line Plots, Scatter Plots and Histograms
  • Customizing Plots
  • Final Project

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Refund Policy
If you withdraw two days before the course start date, any deposit paid will be refunded in full. 

No refunds will be given for cancellations made after that date. If you cannot attend our class or workshop, for which you were charged, you will receive 25% discount for any other course.


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Start Dates (1)
Start Date Time Teacher # Sessions Price
10:00am - 3:00pm Thalo Menninga 4 $1,250
This course consists of multiple sessions, view schedule for sessions.
Sat, Jan 11 10:00am - 3:00pm Thalo Menninga
Sat, Jan 18 10:00am - 3:00pm Thalo Menninga
Sat, Jan 25 10:00am - 3:00pm Thalo Menninga

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