Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
The #1 course that is specifically tailored to beginners to build practical projects with Python and Data Science
Join our FREE masterclass ? Start your wonderful journey into coding and technology.
You might be wondering…
"Why should I learn programming?"
Programming is the #1 requested skill by employers with many jobs left unfilled yearly.
With our courses, anyone can learn to code.
Do you want to learn:
How to teach a self-driving car to navigate a highway?
How to detect objects, emotions and colors in videos?
How to restore images with code?
Build the next big machine learning app!
Learn how to:
build machine learning projects
add machine learning and data science to your resume
This bundle:
does not assume any level of experience
is perfect for beginners
THE COMPLETE SOURCE CODE WILL BE AVAILABLE.
No math or programming experience necessary.
Learn how to code in Python.
Build and run your first Python projects.
Think like a Python developer.
Learn how to use popular Python libraries:
NumPy - fundamental package for scientific computing in Python
Matplotlib's Pyplot - data visualization with plots, graphs and charts
Pandas - fast, powerful, flexible and easy to use data analysis and manipulation tool
Learn machine learning and artificial intelligence from scratch.
Learn how machine learning can solve problems in all disciplines.
Learn how to build a machine learning program.
Take your skills to the next level by building a huge range of models.
Build regression and classification models
Build artificial intelligence search algorithms
Build a full portfolio with practical machine learning projects.
Use Tensorflow 2.0 and Keras to build fun beginner projects.
Classify images, species of plants and more.
Dive into deep learning and master highly desirable skills.
Add projects to your resume in no time.
Learn a hireable skill and powerful technology
Help businesses find customer trends, leverage data to cut costs, and much more.
Requirements
No programming or machine learning experience needed - We'll teach you everything you need to know.
A Mac, PC or Linux computer.
We'll walk you through, step-by-step how to get all the software installed and set up
The only course you need to learn Machine Learning. With over 50,000 reviews, our courses are some of the HIGHEST RATED courses online!
This masterclass is without a doubt the most comprehensive course available anywhere online. Even if you have zero experience, this course will take you from beginner to professional.
Here's why:
This course is a taught by 3 instructors with decades of machine learning and programming experience.
We've taught over 1 million students how to code and many have gone on to become professional developers or start their own tech startup.
You'll save $72,000, the average cost of 6 coding bootcamps. You'll learn completely online at your own pace. You'll get lifetime access to content that never expires.
The course has been updated to be 2022 ready. You'll learn the latest tools and technologies used at large companies such as Google, Microsoft and Amazon.
We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a data analyst, machine learning specialist or similar.
The course includes 1080p HD video tutorials and builds your knowledge while making real-world projects.
Course Content
- 31 section(s)
- 201 lecture(s)
- Section 1 Python Introduction
- Section 2 Code Python on the Web
- Section 3 Python Language Fundamentals: Learn Python from Scratch
- Section 4 Data Visualization with Python and Matplotlib
- Section 5 Beginners Data Analysis with Pandas
- Section 6 Data Mining with Python! Real-Life Data Science Exercises
- Section 7 2-1 Data Wrangling - A Complete Overview
- Section 8 2-2 Data Mining Fundamentals
- Section 9 2-3 Frameworks Explained - Taming Big Data with Spark
- Section 10 2-4 EXAMPLES - Mining and Storing Data
- Section 11 2-5 NLP (Natural Language Processing)
- Section 12 2-6 Conclusion and Summary
- Section 13 PySpark - Build DataFrames with Python, Apache Spark and SQL
- Section 14 PySpark - Build DataFrames from Spreadsheets
- Section 15 Python Data Analysis Bootcamp with Pandas and NLTK
- Section 16 Exploratory Data Analysis Bootcamp with Python, Seaborn and Pandas
- Section 17 Visualize - Exploratory Data Analysis Bootcamp with Python, Seaborn and Pandas
- Section 18 Overview - Introduction to Databases with Python SQL
- Section 19 01 Introduction to data
- Section 20 02 Entity Relationship Modeling (ERM)
- Section 21 03 Introduction to databases and relational databases
- Section 22 04 How to build an organized database
- Section 23 05 Build a SQLite database with Python
- Section 24 Feature Analysis and Data Science with Stocks for Beginners
- Section 25 The Definitive Python Time Series Analysis Masterclass
- Section 26 1). Stock Market Data Analysis and Visualization
- Section 27 2). Stock Market Data Analysis and Visualization
- Section 28 Scrape the Web - Python and Beautiful Soup Bootcamp
- Section 29 Build Interactive Python Dashboards with Plotly and Dash
- Section 30 Data Mining with Python and NumPy - Build a Video Recommender System
- Section 31 Quiz - Test your knowledge
What You’ll Learn
- Learn Python from its very essential topics
- Become an Absolute Python Professional
- Develop your own Portfolio with the many python and python-related projects in the course
- Learn concepts like Data Science and machine learning
- Create Apps and Games with Python
- Perform data mining
- Build Dataframes using Apache Spark and Python with PySpark
- Analyze data with Seaborn and Pandas
Skills covered in this course
Reviews
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AAda Tuana Dönmez
Benim için kesinlikle doğru bir eşleşmeydi. Kullanıcı deneyimi açısından çok memnunum.
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SSerhii
yes
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KKambhampati gowtham
Because at the initial stage itself they were saying how to correct the errors with the help of google or stack overflow then what is the need of learning is it better to learn tricks
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CChuckwudi Perry
Good pace and I like the quizzes at the end of the sections. The projects really help develop an understanding of what you are working on without reading the descriptions of the reserved words.