Python For Data Science A-Z: EDA With Real Exercises In 2024
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- Curriculum
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Hi, dear learning aspirants welcome to “Python For Data Science A-Z: EDA With Real Exercises In 2024 ” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s technical world. Python offers both object-oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course.
This course is for those who are ready to take their data analysis skill to the next higher level with the Python data analysis toolkit, i.e. “Pandas”.
This tutorial is designed for beginners and intermediates but that doesn’t mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration.
In this tutorial, I will be covering all the basic things you’ll need to know about the ‘Pandas’ to become a data analyst or data scientist.
We are adopting a hands-on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-life projects (The projects included are the part of large size research-oriented industry projects).
I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.
What you will learn:
You will become a specialist in the following things while learning via this course
“Data Analysis With Pandas”.
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You will be able to analyze a large file
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Build a Solid Foundation in Data Analysis with Python
After completing the course you will have professional experience on;
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Pandas Data Structures: Series, DataFrame and Index Objects
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Essential Functionalities
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Data Handling
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Data Pre-processing
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Data Wrangling
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Data Grouping
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Data Aggregation
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Pivoting
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Working With Hierarchical Indexing
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Converting Data Types
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Time Series Analysis
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Advanced Pandas Features and much more with hands-on exercises and practice works.
Series at a Glance
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Series Methods and Handling
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Introducing DataFrames
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DataFrames More In Depth
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Working With Multiple DataFrames
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Going MultiDimensional
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GroupBy And Aggregates
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Reshaping With Pivots
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Working With Dates And Time
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Regular Expressions And Text Manipulation
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Visualizing Data
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Data Formats And I/O
Pandas and python go hand-in-hand which is why this bootcamp also includes a Pandas Coding In full length to get you up and running writing pythonic code in no time.
This is the ultimate course on one of the most-valuable skills today. I hope you commit to mastering data analysis with Pandas.
See you inside!
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1Course IntroductionVideo lesson
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2How To Get Most Out Of This CourseVideo lesson
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3Better To Know These ThingsVideo lesson
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4How To Install Python IPython And Jupyter NotebookVideo lesson
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5How To Install Anaconda For macOS And Linux UsersVideo lesson
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6How To Work With The Jupyter Notebook Part-1Video lesson
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7How To Work With The Jupyter Notebook Part-2Video lesson
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16Theory On Data Indexing And SelectionVideo lesson
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17Data Selection In Series Part 1Video lesson
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18Data Selection In Series Part 2Video lesson
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19Indexers Loc And Iloc In SeriesVideo lesson
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20Data Selection In DataFrame Part 1Video lesson
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21Data Selection In DataFrame Part 2Video lesson
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22Accessing Values Using Loc Iloc And Ix In DataFrame ObjectsVideo lesson
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23Practice Part 02Video lesson
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24Practice Part 02 SolutionVideo lesson
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25Theory On Essential FunctionalitiesVideo lesson
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26How To Reindex Pandas ObjectsVideo lesson
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27How To Drop Entries From An AxisVideo lesson
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28Arithmetic And Data AlignmentVideo lesson
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29Arithmetic Methods With Fill ValuesVideo lesson
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30Broadcasting In PandasVideo lesson
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31Apply And Applymap In PandasVideo lesson
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32How To Sort And Rank In PandasVideo lesson
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33How To Work With The Duplicated IndicesVideo lesson
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34Summarising And Computing Descriptive StatisticsVideo lesson
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35Unique Values Value Counts And MembershipVideo lesson
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36Practice_Part_03Video lesson
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37Practice_Part_03 SolutionVideo lesson
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38Theory On Data HandlingVideo lesson
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39How To Read The Csv Files Part - 1Video lesson
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40How To Read The Csv Files Part - 2Video lesson
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41How To Read Text Files In PiecesVideo lesson
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42How To Export Data In Text FormatVideo lesson
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43How To Use Python's Csv ModuleVideo lesson
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44Practice_Part_04Video lesson
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45Practice_Part_04 SolutionVideo lesson
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46Theory On Data PreprocessingVideo lesson
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47How To Handle Missing ValuesVideo lesson
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48How To Filter The Missing ValuesVideo lesson
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49How To Filter The Missing Values Part 2Video lesson
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50How To Remove Duplicate Rows And ValuesVideo lesson
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51How To Replace The Non Null ValuesVideo lesson
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52How To Rename The Axis LabelsVideo lesson
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53How To Descretize And Bin The Data Part - 1Video lesson
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54How To Filter And Detect The OutliersVideo lesson
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55How To Reorder And Select RandomlyVideo lesson
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56Converting The Categorical Variables Into Dummy VariablesVideo lesson
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57How To Use 'map' MethodVideo lesson
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58How To Manipulate With StringsVideo lesson
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59Using Regular ExpressionsVideo lesson
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60Working With The Vectorized String FunctionsVideo lesson
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61Practice_Part_05Video lesson
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62Practice_Part_05 SolutionVideo lesson
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63Theory On Data WranglingVideo lesson
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64Hierarchical IndexingVideo lesson
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65Hierarchical Indexing Reordering And SortingVideo lesson
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66Summary Statistics By LevelVideo lesson
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67Hierarchical Indexing With DataFrame ColumnsVideo lesson
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68How To Merge The Pandas ObjectsVideo lesson
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69Merging On Row IndexVideo lesson
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70How To Concatenate Along An AxisVideo lesson
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71How To Combine With OverlapVideo lesson
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72How To Reshape And Pivot Data In PandasVideo lesson
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73Practice_Part_06Video lesson
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74Practice_Part_06 SolutionVideo lesson
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75Thoery On Data Groupby And AggregationVideo lesson
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76Groupby OperationVideo lesson
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77How To Iterate Over Groupby ObjectVideo lesson
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78How To Select Columns In Groupby MethodVideo lesson
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79Grouping Using Dictionaries And SeriesVideo lesson
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80Grouping Using Functions And Index LevelVideo lesson
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81Data AggregationVideo lesson
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82Practice_Part_07Video lesson
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83Practice_Part_07 SolutionVideo lesson
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