Python for Data Science Immersive

at Practical Programming - The Loop

(364)
Course Details
Price:
$1,250 3 seats left
Start Date:

Mon, Jan 20, 10:00am - Jan 24, 5:00pm (5 sessions)

Next start dates (5)

Location:
The Loop, Downtown/Loop
29 E Madison, 16 Fl. Suite 1620
S Wabash Ave
Chicago, Illinois 60602
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Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 5
Teacher: Thalo Menninga

What you'll learn in this data science course:

Data Science Immersive is a week-long comprehensive course with an emphasis on the practical application of Python to data analysis. In the first two days we cover Python's built-in data types, explaining differences in the behavior of data structures, laying a foundation for the more complex NumPy and Pandas structures.  
 
A deep understanding of data types prepares users to solve real-life challenges with the right tools in the most efficient manner. Also, it is important to understand why some of the types are faster and some are just an extension of others.  
 
In this course we are not covering in-depth mathematical and statistical concepts, rather we master practical usage of the Python programming language and its extensions NumPy and Pandas.
 
During this course we solve many real-world financial, statistical, and analytical problems. We are always open to new challenges and asking aspiring programmers to bring their projects so we could solve them together.
 
When you sign up for this course, you should also be prepared to work hard.  While we do explain all of the concepts thoroughly and have notes on each lesson that you can refer back to, we follow up each lesson with practice problems to reinforce the material.  We code almost seven hours a day with breaks for lunch and coffee.
 
At the end of this course, you will have a fundamental understanding of the Python programming language and its analytical libraries: NumPy, Pandas, and Matplotlib. You will learn the best practices and understand how to write clean and efficient Python code.  Also, you will gain essential knowledge of data structures needed to solve financial, analytical, and statistical problems in a fast and efficient manner.  

Moreover, you will have a portfolio of sample code solutions done in a professional style.


Data Science Immersive 

Day 1
  • Variables
  • Built-in data types: strings, integers, floats, lists
  • Introduction to built-in functions
  • Behavior of Data Structures
  • Control flow statementsIf, Elif, Else statements
  • Definite loops: For loopsPractical exercises
Day 2
  • How to write custom Python functions
  • Built-In data types: tuples, dictionaries, sets
  • Indefinite loops: While loopsIndexing and slicing
  • Reading data from CSV and TXT Files
  • Writing to CSV and TXT FilesAnalyzing a file’s content
  • Practical exercises
Day 3
  • Lambda
  • List comprehensions
  • Scientific computing with Python
  • NumPy arrays
  • Creating and manipulating NumPy arrays
  • Computation on NumPy arrays
  • Broadcasting and UFuncs
  • Sorting and Indexing NumPy arrays
Day 4
  • Aggregating data in Pandas
  • Data Indexing and Selection
  • Logic, Control Flow and Filtering in Pandas
  • Grouping by for analytics
  • Combining datasets and Merging datasets
  • High-performance Pandas: Eval and Query
  • Hierarchical indexing
  • Handling missing data
  • Python Data Analysis Library - Pandas
  • Pandas data structures
  • Practical exercises
Day5
  • Web scraping and Data Mining
  • Visualization with Matplotlib
  • Line Plots, Scatter Plots and Histograms
  • Customizing Plots
  • Multiple Subplots
  • Density and Contour Plots
  • Python best practices
  • How to write fast and efficient code – Big-O notation
  • Q&A

Still have questions? Ask the community.

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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Practical Programming

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Washington/Wabash

Start Dates (6)
Start Date Time Teacher # Sessions Price
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Jan 21 10:00am - 5:00pm Thalo Menninga
Wed, Jan 22 10:00am - 5:00pm Thalo Menninga
Thu, Jan 23 10:00am - 5:00pm Thalo Menninga
Fri, Jan 24 10:00am - 5:00pm Thalo Menninga
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Feb 04 10:00am - 5:00pm Thalo Menninga
Wed, Feb 05 10:00am - 5:00pm Thalo Menninga
Thu, Feb 06 10:00am - 5:00pm Thalo Menninga
Fri, Feb 07 10:00am - 5:00pm Thalo Menninga
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Feb 18 10:00am - 5:00pm Thalo Menninga
Wed, Feb 19 10:00am - 5:00pm Thalo Menninga
Thu, Feb 20 10:00am - 5:00pm Thalo Menninga
Fri, Feb 21 10:00am - 5:00pm Thalo Menninga
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Mar 03 10:00am - 5:00pm Thalo Menninga
Wed, Mar 04 10:00am - 5:00pm Thalo Menninga
Thu, Mar 05 10:00am - 5:00pm Thalo Menninga
Fri, Mar 06 10:00am - 5:00pm Thalo Menninga
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Mar 17 10:00am - 5:00pm Thalo Menninga
Wed, Mar 18 10:00am - 5:00pm Thalo Menninga
Thu, Mar 19 10:00am - 5:00pm Thalo Menninga
Fri, Mar 20 10:00am - 5:00pm Thalo Menninga
Start Date Time Teacher # Sessions Price
10:00am - 5:00pm Thalo Menninga 5 $1,250
This course consists of multiple sessions, view schedule for sessions.
Tue, Mar 24 10:00am - 5:00pm Thalo Menninga
Wed, Mar 25 10:00am - 5:00pm Thalo Menninga
Thu, Mar 26 10:00am - 5:00pm Thalo Menninga
Fri, Mar 27 10:00am - 5:00pm Thalo Menninga

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Reviews of Classes at Practical Programming (364)

(364 Reviews)
Python for Data Science Immersive
Reviewed by David G. on 11/24/2019
I loved the class a lot because of the fact that it was a week and able to compress all that information into it. I also liked the 10AM start, not too early. The 5pm end was a little late for my particular week that week, since I had things to do for about 3 days of the week and had to leave early. However, any week-long class will present that problem with trying to fit errands before or after the class. The teacher was very fast and he could type as fast as he could talk. I tried to keep up and coded along with him as he presented, which really helped with the hands on and understanding being able to actually see it run in front of me. This type of hands on also keeps me engaged versus just sitting there watching someone lecture. Sometimes I couldn't quite keep up, but all is good, I still got the main points and lots of information in a short time. The exercises were also good practice, but with me, it takes time and experience to be able to rattle off code with intuitive understanding, so I'm not worried about that yet, since with practice, I know it becomes second nature. Overall, I like the way Practical Programming teaches, and I'm thinking of taking more classes from there.
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