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Data Science Courses
Python For Data Science In 2025 A-Z EDA With Real Exercises
1 students
Last updated
Mar 2025
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Overview
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Course content
Sections:
12
•
Activities:
0
•
Resources:
102
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Section 1
Getting Started
001 Course Introduction HoC5 gitir
Section 2
Getting Started
002 How To Get Most Out Of This Course haBB gitir
003 Better To Know These Things ndKf gitir
004 How To Install Python IPython And Jupyter Notebook YH8n gitir
005 How To Install Anaconda For macOS And Linux Users 0N4N gitir
006 How To Work With The Jupyter Notebook Part 1 vRv2 gitir
007 How To Work With The Jupyter Notebook Part 2 hLiv gitir
Section 3
Pandas Building Blocks
008 How To Work With The Tabular Data 0BRr gitir
009 How To Read The Documentation In Pandas Bra4 gitir
Section 4
Pandas_Data Structures
010 Theory On Pandas Data Structures hW1U gitir
011 How To Construct The Pandas Series C2ov gitir
012 How To Construct The DataFrame Objects M23V gitir
013 How To Construct The Pandas Index Objects 1bVx gitir
014 Practice Part 01 vXfC gitir
015 Practice Part 01 Solution FWZQ gitir
Section 5
Data Indexing And Selection
016 Theory On Data Indexing And Selection KGEX gitir
017 Data Selection In Series Part 1 RDzy gitir
018 Data Selection In Series Part 2 JfZ8 gitir
019 Indexers Loc And Iloc In Series mpvk gitir
020 Data Selection In DataFrame Part 1 HG4R gitir
021 Data Selection In DataFrame Part 2 Uiid gitir
022 Accessing Values Using Loc Iloc And Ix In DataFrame Objects 4KMD gitir
023 Practice Part 02 BKrB gitir
024 Practice Part 02 Solution XSm1 gitir
Section 6
Essential Functionalities
025 Theory On Essential Functionalities 0yPX gitir
026 How To Reindex Pandas Objects D4qJ gitir
027 How To Drop Entries From An Axis 0wz8 gitir
028 Arithmetic And Data Alignment 3cYs gitir
029 Arithmetic Methods With Fill Values W3jI gitir
030 Broadcasting In Pandas Adfq gitir
031 Apply And Applymap In Pandas be3W gitir
032 How To Sort And Rank In Pandas UMSr gitir
033 How To Work With The Duplicated Indices egoc gitir
034 Summarising And Computing Descriptive Statistics uFyk gitir
035 Unique Values Value Counts And Membership 4usI gitir
036 Practice Part 03 yiWp gitir
037 Practice Part 03 Solution u2Mo gitir
Section 7
Data Handling
038 Theory On Data Handling 1FZZ gitir
039 How To Read The Csv Files Part 1 xHNj gitir
040 How To Read The Csv Files Part 2 JFbY gitir
041 How To Read Text Files In Pieces z5OV gitir
042 How To Export Data In Text Format HEzL gitir
043 How To Use Python s Csv Module yrye gitir
044 Practice Part 04 b35F gitir
045 Practice Part 04 Solution o566 gitir
Section 8
Data Cleaning And Preparation
046 Theory On Data Preprocessing FKzM gitir
047 How To Handle Missing Values 0nTI gitir
048 How To Filter The Missing Values ghT9 gitir
049 How To Filter The Missing Values Part 2 6X4V gitir
050 How To Remove Duplicate Rows And Values QHpd gitir
051 How To Replace The Non Null Values BC6d gitir
052 How To Rename The Axis Labels IO2B gitir
053 How To Descretize And Bin The Data Part 1 lyyr gitir
054 How To Filter And Detect The Outliers Ke6B gitir
055 How To Reorder And Select Randomly 3Zi3 gitir
056 Converting The Categorical Variables Into Dummy Variables rna2 gitir
057 How To Use map Method EH8s gitir
058 How To Manipulate With Strings TTZt gitir
059 Using Regular Expressions ZklR gitir
060 Working With The Vectorized String Functions eATR gitir
061 Practice Part 05 O5Aq gitir
062 Practice Part 05 Solution Sq8D gitir
Section 9
Data Wrangling
063 Theory On Data Wrangling LTgV gitir
064 Hierarchical Indexing nIQR gitir
065 Hierarchical Indexing Reordering And Sorting Ci3b gitir
066 Summary Statistics By Level eaU1 gitir
067 Hierarchical Indexing With DataFrame Columns xT71 gitir
068 How To Merge The Pandas Objects yAZb gitir
069 Merging On Row Index E07S gitir
070 How To Concatenate Along An Axis t5ej gitir
071 How To Combine With Overlap 88na gitir
072 How To Reshape And Pivot Data In Pandas zFiO gitir
073 Practice Part 06 IE81 gitir
074 Practice Part 06 Solution ESBy gitir
Section 10
Data Grouping And Aggregation
075 Thoery On Data Groupby And Aggregation uqWq gitir
076 Groupby Operation DJTG gitir
077 How To Iterate Over Groupby Object KxY2 gitir
078 How To Select Columns In Groupby Method OKJC gitir
079 Grouping Using Dictionaries And Series j7YD gitir
080 Grouping Using Functions And Index Level IhZ6 gitir
081 Data Aggregation mJdB gitir
082 Practice Part 07 HePD gitir
083 Practice Part 07 Solution Z7aH gitir
Section 11
Time Series Analysis
084 Theory On Time Series Analysis ZSMG gitir
085 Introduction To Time Series Data Types CU2A gitir
086 How To Convert Between String And Datetime 67JV gitir
087 Time Series Basics With Pandas Objects Zz85 gitir
088 Date Ranges Frequencies And Shifting X1tm gitir
089 Date Ranges Frequencies And Shifting Part 2 EqYV gitir
090 Time Zone Handling Hksv gitir
091 Periods And Period Arithmetics Ywr7 gitir
092 Practice Part 08 dnHV gitir
093 Practice Part 08 Solution 5tMA gitir
Section 12
How To Analyse With The Part of Real Life Projects
094 A Brief Introduction To The Pandas Projects HOdg gitir
095 Project 1 Description NpGS gitir
096 Project 1 Solution Part 1 U5KA gitir
097 Project 1 Solution Part 2 TuMN gitir
098 Project 2 Description 3QPR gitir
099 Project 2 Solution kQyq gitir
100 Project 3 Description Qbkq gitir
101 Project 3 Solution Part 1 BSWc gitir
102 Project 3 Solution Part 2 q2dR gitir
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Python For Data Science In 2025 A-Z EDA With Real Exercises
Course modified date:
4 Mar 2025
Enrolled students:
1
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