Data Visualization & Data Wrangling Masterclass with Python
- Description
- Curriculum
- FAQ
- Reviews
Welcome to the online course on Data Visualization.
Data Visualization is a graphical representation of information and data.
Data Visualization tools provide an accessible way to see and understand data because with visualizations it becomes easier for the human brain to understand and pull insights out of the data.
The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.
In this course, you will get advanced knowledge on Data Visualization.
This course begins with providing you the complete knowledge on Python programming language.
You will learn all the concepts of python programming required.
This course will cover:-
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Python variables
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Python data types
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Loops and Conditionals
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Strings
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Regular Expressions
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Data Time Objects
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Numpy Library
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Pandas Library
Along with the python programming, this course will cover the concepts of query analysis as well.
That will help you become an expert in analyzing data using different libraries such as Dabl and sweetviz.
Not only this, this course will provide advanced knowledge on Data Visualization.
This course will cover:-
Basic data visualization
Advanced Data Visualization such as facet grids, polar charts, waffle charts, maps, statistical charts etc.
Animated Data Visualization such as bubble plot, facets, scatter maps and choropleth maps.
Some miscellaneous charts such as sunburst charts, parallel-coordinate charts, gantt charts etc.
All this in one course!!!!
Along with all these we have three bonus projects for you!
Startup Case study and Analysis
Player performance Reviewer and
IPL Data Science Analyzer
Where you will apply all the concepts learnt in this course.
This course is a complete package.
Lots and lots of quizzes and exercises are waiting for you.
You will also have access to all the resources used in this course.
Enroll now and become an expert in data visualizations.
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1Why should you learn Python?Video lesson
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2Installing Python and Jupyter NotebookVideo lesson
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3Understanding the Interface of Jupyter NotebookVideo lesson
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4Q and AVideo lesson
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5Naming Convention for variablesVideo lesson
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6Built in Data Types and Type CastingVideo lesson
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7Scope of VariablesVideo lesson
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8Quiz on Variables and Data TypesQuiz
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9Quiz SolutionVideo lesson
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10Exercise on Variables and Data TypesVideo lesson
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11Solution on Variables and Data TypesVideo lesson
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12Exercise on Scope of VariablesVideo lesson
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13Solution on Scope of VariablesVideo lesson
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14Arithmetic and Assignment OperatorsVideo lesson
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15Comparison, Logical, and Bitwise OperatorsVideo lesson
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16Identity and Membership OperatorsVideo lesson
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17Quiz on OperatorsQuiz
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18Quiz SolutionVideo lesson
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19Exercise on Arithmetic and Assignment OperatorsVideo lesson
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20Solution on Arithmetic and Assignment OperatorsVideo lesson
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21Exercise on Comparison, Logical, and Bitwise OperatorsVideo lesson
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22Solution on Comparison, Logical, and Bitwise OperatorsVideo lesson
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23Exercise on Identity and Membership OperatorsVideo lesson
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24Solution on Identity and Membership OperatorsVideo lesson
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25String FormattingVideo lesson
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26String MethodsVideo lesson
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27User InputVideo lesson
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28Quiz on StringsQuiz
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29Quiz SolutionVideo lesson
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30Exercise on StringsVideo lesson
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31Solution on StringsVideo lesson
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32If, elif, and elseVideo lesson
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33For and WhileVideo lesson
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34Break and ContinueVideo lesson
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35Quiz on Loops and ConditionalsQuiz
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36Quiz SolutionVideo lesson
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37Exercise on Loops and ConditionalsVideo lesson
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38Solution on Loops and ConditionalsVideo lesson
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39Introduction to datetimeVideo lesson
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40Date and Time ClassVideo lesson
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41Datetime ClassVideo lesson
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42Timedelta ClassVideo lesson
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43Quiz on Dates and TimesQuiz
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44Quiz SolutionVideo lesson
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45Exercise on Date and TimeVideo lesson
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46Solution on Date and TimeVideo lesson
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47Meta Characters for Regular ExpressionsVideo lesson
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48Built-in Functions for Regular ExpressionsVideo lesson
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49Special Characters for Regular ExpressionsVideo lesson
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50Sets for Regular ExpressionsVideo lesson
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51Quiz on Regular ExpressionsQuiz
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52Quiz SolutionVideo lesson
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53Exercise on Regular ExpressionsVideo lesson
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54Solution on Regular ExpressionsVideo lesson
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55Array Creation using NumpyVideo lesson
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56Mathematical Operations using NumpyVideo lesson
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57Built-in Functions in NumpyVideo lesson
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58Quiz on Introduction to NumpyQuiz
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59Quiz SolutionVideo lesson
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60Exercise on Built-in Functions in NumpyVideo lesson
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61Solution on Built-in Functions in NumpyVideo lesson
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62Reading Datasets using PandasVideo lesson
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63Plotting Data in PandasVideo lesson
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64Indexing, Selecting, and Filtering Data using PandasVideo lesson
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65Merging and Concatenating DataFramesVideo lesson
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66Lambda, Map, and Apply FunctionsVideo lesson
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67Quiz on Introduction to PandasQuiz
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68Quiz SolutionVideo lesson
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69Exercise on Pandas PlottingVideo lesson
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70Solution on Pandas PlottingVideo lesson
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71Exercise on Indexing and SelectingVideo lesson
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72Solution on Indexing and SelectingVideo lesson
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73Exercise on Apply FunctionsVideo lesson
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74Solution on Apply FunctionsVideo lesson
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