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Intensive Python Programming for Data Science & Machine Learning
Course Prerequisite(s)
- Please note that this course has the following prerequisites which must be completed before it can be accessed
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Introduction to Python for Data Science
What I will learn?
- Transform your skills with Python programming
- Getting started on data science using Python and its powerful libraries like Pandas and Matplotlib
- Develop your machine learning knowledge and skills using Scikit-learn
- Become more skillful in Python along with industry relevant practical projects
Course Curriculum
Introduction to Python and Coding
Start your journey with Python by learning the basics, including setting up your environment, understanding syntax, and working with essential data structures.
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Python Basics
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Control Flow
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Functions and Modules
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Data Structures
Working with Data using Pandas
Dive into the world of data handling by learning how to read, write, and manipulate data using Python and the powerful Pandas library.
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File Handling
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Data Cleaning
Data Analysis and Visualization
Learn how to explore and visualize data to uncover insights and communicate your findings effectively.
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Exploratory Data Analysis (EDA)
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Matplotlib and Seaborn
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Pandas for Data Analysis
Machine Learning Basics
Get introduced to the exciting field of machine learning, starting with fundamental concepts and progressing to practical applications.
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Introduction to Machine Learning
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Supervised Learning
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Unsupervised Learning
Advanced Topics and Capstone Project
Cap off your learning experience with advanced data manipulation techniques and a capstone project that consolidates all the skills you've acquired.
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Advanced Data Manipulation
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Capstone Project
Earn Your Certificates
Add this certificate to your CV profile to demonstrate your skills & increase your chances of getting noticed.
Student Ratings & Reviews
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525$
750$
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LevelBeginner
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Total Enrolled11
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Duration45 hours
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Last UpdatedNovember 25, 2024
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CertificateCertificate of completion
Hi, Welcome back!
Material Includes
- Slides
- Exercises and project assignments
- Guides and additional resources
Requirements
- Classes are conducted in hybrid both online instructor-led for evenings (6:30-8:30PM on Tuesday and Thursday) and in-person on Saturday morning (9AM-12PM). Be able to commit for a minimum 5 intensive weeks.
Tags
Target Audience
- Open to beginners who want to get started in Python for Data and Machine Learning. This will most beneficial for those who can commit to learn coding and analyze data using Python.
