Learn to Code in Python 3: Programming beginner to advanced
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In this course, learning to code will be easy and intuitive for you. You will learn Python 3, one of the most popular programming languages in the world.
We will cover the basic fundamentals of programming and you will learn how to do exciting things in Python, like reading and writing on files, like Excel sheets or TXT files, working with JSON and sending HTTP requests to web servers and APIs.
We will also cover a little bit of Data Visualization, Statistics and Machine Learning in Python.
This course does not require previous experience in IT or programming, it was designed to help any person learn to code. By the end of the course you will be writing you own programs and thinking like a programmer. Your professional life will get a huge upgrade.
This course offers life time access, a certificate of conclusion and a 30-day money back guarantee. Don’t miss this opportunity! Enroll now and start learning Python!
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7Data Types: StringsVideo lesson
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8Exercise - StringsVideo lesson
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9Data Types: NumbersVideo lesson
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10Exercise - NumbersVideo lesson
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11Data Types: Lists and TuplesVideo lesson
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12Exercise - Lists and TuplesVideo lesson
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13Data Types: DictionariesVideo lesson
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14Exercise - DictionariesVideo lesson
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15Data Types: BooleansVideo lesson
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16Exercise - BooleansVideo lesson
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17Conditionals (if, elif, else)Video lesson
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18AND / OR operatorsVideo lesson
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19Exercise - ConditionalsVideo lesson
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20While LoopsVideo lesson
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21For LoopsVideo lesson
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22Exercise - LoopsVideo lesson
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23Data ValidationVideo lesson
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24Error HandlingVideo lesson
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25Exercise - Error HandlingVideo lesson
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26FunctionsVideo lesson
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27TimeVideo lesson
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28MatplotlibVideo lesson
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29Exercise - Time & Matplotlib.PyplotVideo lesson
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30RequestsVideo lesson
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31Sending HTTP Requests to APIsVideo lesson
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32Working With JSONVideo lesson
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33Exercise - Requests & Json (Part 1)Video lesson
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34Exercise - Requests & Json (Part 2)Video lesson
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37Introduction to Machine LearningVideo lesson
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38The Iris DatasetVideo lesson
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39Applying the KNN ModelVideo lesson
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40Splitting Data Intro Train and Test GroupsVideo lesson
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41Exercise KNN - Picking the Best Value Of KVideo lesson
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42The Logistic Regression ModelVideo lesson
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43Applying the Logistic Regression ModelVideo lesson
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44What's next in Machine Learning?Video lesson
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