Python for Data Analysis & Visualization 2022
- Description
- Curriculum
- FAQ
- Reviews
Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.
This course can be split into 3 key areas:
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The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course
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The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas
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For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly Express
You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.
The course is packed with lectures, code-along videos, coding exercises and quizzes.
On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.
There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.
The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.
This course is suitable for students of all levels and it doesn’t matter what operating system you use.
Curriculum summary:
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Set Up & Installation
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Core Python
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Python Objects, Variables and Data Types
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Control Flow and Loops
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Functions
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External Libraries
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Data Analysis Libraries
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NumPy
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Pandas
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Connecting to different Data Sources
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Visualization Libraries
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Matplotlib
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Seaborn
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Plotly Express
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4 dedicated Challenge Sections!!!!
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8Objects and Variables OverviewVideo lesson
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9NumbersVideo lesson
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10Integer VariablesQuiz
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11Coding Exercise SolutionText lesson
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12Float VariablesQuiz
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13Coding Exercise SolutionText lesson
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14StringsVideo lesson
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15Print Formatting with StringsQuiz
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16Coding Exercise SolutionText lesson
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17String OperationsVideo lesson
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18String Indexing and Slicing QuizQuiz
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19String Methods and PropertiesVideo lesson
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20String MethodsQuiz
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21Coding Exercise SolutionText lesson
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22String Concatenation and FormattingVideo lesson
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23ListsVideo lesson
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24ListsQuiz
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25Coding Exercise SolutionText lesson
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26ListsQuiz
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27Coding Exercise SolutionText lesson
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28DictionariesVideo lesson
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29DictionariesQuiz
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30Coding Exercise SolutionText lesson
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31Tuples and SetsVideo lesson
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32Tuples and SetsQuiz
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33Coding Exercise SolutionText lesson
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34BooleansVideo lesson
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35Key Words in PythonText lesson
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36Data TypesQuiz
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37Python OperatorsVideo lesson
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38Control FlowVideo lesson
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39Control FlowQuiz
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40Coding Exercise SolutionText lesson
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41For LoopsVideo lesson
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42For Loops (continued)Video lesson
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43For LoopsQuiz
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44Coding Exercise SolutionText lesson
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45For LoopsQuiz
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46Coding Exercise SolutionText lesson
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47While LoopsVideo lesson
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48Break, Continue and Pass StatementsVideo lesson
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49List ComprehensionVideo lesson
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50List ComprehensionQuiz
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51Coding Exercise SolutionText lesson
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52IN and NOT INVideo lesson
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53Built-In FunctionsVideo lesson
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54Built-In FunctionsQuiz
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55Coding Exercise SolutionText lesson
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56User Defined FunctionsVideo lesson
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57User Defined Functions - ExamplesVideo lesson
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58User Defined FunctionsQuiz
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59Coding Exercise SolutionText lesson
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60User Defined FunctionsQuiz
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61Coding Exercise SolutionText lesson
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62Arguments and Keyword ArgumentsVideo lesson
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63Map and FilterVideo lesson
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64Lambda FunctionsVideo lesson
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65Lambda FunctionsQuiz
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66Coding Exercise SolutionText lesson
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67Errors and Exception HandlingVideo lesson
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