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Data Science For Beginners With Python

Track :

Programming

Lessons no : 27

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Master data analysis techniques using Python libraries like Pandas and NumPy for real-world datasets
  • Apply data visualization tools such as Matplotlib and Seaborn to communicate insights effectively
  • Implement basic machine learning algorithms with scikit-learn for predictive modeling tasks
  • Perform data cleaning and preprocessing to prepare datasets for accurate analysis and modeling
  • Utilize statistical methods to interpret data trends and support data-driven decision making
  • Develop skills to handle large datasets efficiently using Python's data science ecosystem
  • Create and evaluate data models to improve accuracy and performance in predictive analytics
  • Integrate Python data science tools to automate data workflows and reporting processes
  • Identify ethical considerations and best practices in data science projects and data handling
  • Build a foundational understanding of the role of Python in comprehensive data science projects

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 27
Data Science For Beginners With Python 1 Introduction to Data Science Python Environment Setup
00:08:53

Data Science For Beginners With Python 1 Introduction to Data Science Python Environment Setup
Data Science For Beginners With Python 2 Importing Datasets in Pandas and Removing Junk
00:15:27

Data Science For Beginners With Python 2 Importing Datasets in Pandas and Removing Junk
Data Science For Beginners With Python 3 Copying Selecting Indexing data from Pandas Dataframes
00:15:59

Data Science For Beginners With Python 3 Copying Selecting Indexing data from Pandas Dataframes
Data Science for Beginners with Python 4 Pandas dataframe Counting Summarized view Data Types
00:14:05

Data Science for Beginners with Python 4 Pandas dataframe Counting Summarized view Data Types
Data Science For Beginners with Python 5 Cleaning and Converting the Pandas Dataframe columns
00:12:50

Data Science For Beginners with Python 5 Cleaning and Converting the Pandas Dataframe columns
Data Science For Beginners with Python 6 If Else and Looping Constructs in Pandas Part 1
00:12:03

Data Science For Beginners with Python 6 If Else and Looping Constructs in Pandas Part 1
Data Science For Beginners with Python 7 If Else and Looping Constructs in Pandas Part 2
00:05:18

Data Science For Beginners with Python 7 If Else and Looping Constructs in Pandas Part 2
Data Science For Beginners with Python 8 Exporting data to file Aggregate Statistics Describing
00:11:25

Data Science For Beginners with Python 8 Exporting data to file Aggregate Statistics Describing
Data Science For Beginners with Python 9 Calculate Frequency Tables Two way Tables
00:10:00

Data Science For Beginners with Python 9 Calculate Frequency Tables Two way Tables
Data Science For Beginners with Python 10 Conditional Probability and Correlation in Pandas
00:11:27

Data Science For Beginners with Python 10 Conditional Probability and Correlation in Pandas
Data Science For Beginners with Python 11 Dataframe Visualization using Matplotlib and Seaborn
00:14:13

Data Science For Beginners with Python 11 Dataframe Visualization using Matplotlib and Seaborn
Data Science For Beginners with Python 12 Numerical and Categorical variables with Matplotlib
00:12:30

Data Science For Beginners with Python 12 Numerical and Categorical variables with Matplotlib
Data Science For Beginners with Python 13 Data Visualization using Seaborn
00:10:01

Data Science For Beginners with Python 13 Data Visualization using Seaborn
Data Science For Beginners with Python 14 Seaborn Histogram
00:13:46

Data Science For Beginners with Python 14 Seaborn Histogram
Data Science For Beginners with Python 15 Box Whisker Plot Histograms
00:11:54

Data Science For Beginners with Python 15 Box Whisker Plot Histograms
Data Science For Beginners with Python 16 Filling Missing Categorical values in Pandas Dataframes
00:27:13

Data Science For Beginners with Python 16 Filling Missing Categorical values in Pandas Dataframes
Accuracy measures in Data Mining
00:16:19

Accuracy measures in Data Mining
Data Science For Beginners with Python 17 Case Study 1 Classify Personal Income
00:19:19

Data Science For Beginners with Python 17 Case Study 1 Classify Personal Income
Data Science For Beginners with Python 18 Case Study 1 Classify Personal Income part 2
00:09:50

Data Science For Beginners with Python 18 Case Study 1 Classify Personal Income part 2
Data Science For Beginners with Python 19 Case Study 1 Building Logistic Regression Model
00:09:50

Data Science For Beginners with Python 19 Case Study 1 Building Logistic Regression Model
Data Science For Beginners with Python 20 Case Study 1 Validating Model accuracy
00:08:23

Data Science For Beginners with Python 20 Case Study 1 Validating Model accuracy
Data Science For Beginners with Python 21 Case Study 1 Removing Insignificant Variables
00:13:26

Data Science For Beginners with Python 21 Case Study 1 Removing Insignificant Variables
Data Science For Beginners with Python 22 Case Study 1 Improving KNN Model Accuracy
00:08:22

Data Science For Beginners with Python 22 Case Study 1 Improving KNN Model Accuracy
Learn Data Science Tutorial | Data Science With Python | Python Data Science Tutorial
04:35:41

Learn Data Science Tutorial | Data Science With Python | Python Data Science Tutorial
Python for Android | How To Run Python Programs On Android
00:12:29

Python for Android | How To Run Python Programs On Android
Python Pandas Data Science Tutorial
04:35:35

Python Pandas Data Science Tutorial
How to Set Up Python in Visual Studio Code on Windows 11
00:20:13

How to Set Up Python in Visual Studio Code on Windows 11


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Python's immanent readability and lucidity has made it relatively easy to use, and the number of dedicated analytical libraries on it can be utilized easily when creating models in dealing with Data Science. The big question is if Python is enough for Data Science. Well the answer is NO!