Python for Data Science & Machine Learning from A-Z
Course
Online
Description
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Type
Course
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Level
Beginner
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Methodology
Online
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Duration
Flexible
In this practical, hands-on course you’ll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner.
Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job.
We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib +
NumPy — A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library.
Pandas — A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.
About this course
No previous programming experience necessary
Access to a personal computer or equivalent system
Internet access to download the necessary software
Reviews
Subjects
- Database
- Data analysis
- Database Design
- Data Collection
- Database Marketing
Teachers and trainers (1)
Frontier Education
Education
Course programme
Become a professional Data Scientist and learn Machine Learning, Data Analysis + Visualisation, Web Apps + more!
What you'll learn
- Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
- Learn data cleaning, processing, wrangling and manipulation
- How to create resume and land your first job as a Data Scientist
- How to use Python for Data Science
- How to write complex Python programs for practical industry scenarios
- Learn Plotting in Python (graphs, charts, plots, histograms etc)
- Learn to use NumPy for Numerical Data
- Machine Learning and it's various practical applications
- Supervised vs Unsupervised Machine Learning
- Learn Regression, Classification, Clustering and Sci-kit learn
- Machine Learning Concepts and Algorithms
- K-Means Clustering
- Use Python to clean, analyze, and visualize data
- Building Custom Data Solutions
- Statistics for Data Science
- Probability and Hypothesis Testing
Python for Data Science & Machine Learning from A-Z