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Python for Data Science

at Practical Programming - Online

(378)
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$1,250
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Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 7
Teacher: Thalo Menninga

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

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

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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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School: Practical Programming

Practical Programming

Practical programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.

No coding experience needed, anyone who would like to learn how to code...

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