Learn Data Analysis With Pandas In 2023

سرفصل های دوره

Learn Data Analysis with Pandas, Matplotlib, & Python in 2023

1. Getting Started

1. Introduction

2.1 Anaconda.html

2.2 JupyterThemes.html

2. Installing Anaconda

3. Jupyter Notebook

4. Resources

2. Series

1.1 Pandas Documentation.html

1. Introduction

2.1 Documentation.html

2. Attributes

3.1 Documentation.html

3. Methods

4.1 Richest People CSV (Source).html

4.2 TopRichestInWorld.csv

4. Handling CSV files

5. head() And tail()

6. Sorting values in a Series

7. Counting values in a Series

8. Accessing elements via position

9. Accessing elements via index

10.1 series homework.zip

10. Homework

11. Homework (Solution)

3. Excel

1. Handling excel files

4. DataFrames (Part 1)

1. Introduction

2. Methods

3.1 IMDB Movies CSV (Source).html

3.2 imdb top 1000.csv

3. describe() And info()

4. nlargest() And nsmallest()

5. set index() And reset index()

6. Removing columnsrows in a DataFrame with drop()

7. Adding columns to a DataFrame

8. dropna()

9. fillna()

10.1 homework dataframes 001.zip

10. Homework

11. Homework (Solution)

5. DataFrames (Part 2)

1.1 Titanic Dataset (Source).html

1.2 titanic3.xls

1. Titanic.xls

2. .loc[]

3. .loc[] (Continued)

4. .iloc[]

5. .iloc[] (Continued)

6. Broadcasting

7. Conditions

8. Multiple conditions

9. between()

10. isin(), isnull(), And notnull()

11. Renaming

12.1 homework3.zip

12. Homework

13. Homework (Solution)

6. DataFrames (Part 3)

1.1 Pokemon Dataset (Source).html

1.2 Pokemon.csv

1. Pokemon.csv

2. apply()

3. map() And applymap()

4. astype()

5. replace()

6. where()

7. agg()

8. copy()

9. Multi-indexing

10. Multi-indexing (Continued)

11.1 homework df3.zip

11. Homework

12. Homework (Solution)

7. String Operations

1. .str

2. startswith() And endswith()

3. Index And columns

8. Reshaping Datasets

1.1 Exams Dataset (Source).html

1.2 exams.csv

1. Introduction

2. transpose()

3. stack() And unstack()

4.1 olympics.csv

4. melt()

5.1 people.csv

5. pivot()

6.1 people2.csv

6. pivot table()

7. groupby() - Part 1

8. groupby() - Part 2

9. groupby() - Part 3

9. Combining Datasets

1. Introduction

2. concat()

3.1 company21.csv

3.2 company22.csv

3. merge()

4. Outer join

5. Inner join

6. Left And right join

7. Left And right join (Minus)

8. Outer join (Minus)

9. Merging with different column names

10. Time Series

1. Introduction

2. Timestamp And DatetimeIndex

3.1 Frequency aliases.html

3. date range()

4. Period And PeriodIndex

5. Timedelta And TimedeltaIndex

6. Accessing time attributes through .dt

7.1 Timestamp (Documentation).html

7. Timestamp methods And attributes

8.1 AAPL.csv

8.2 Apple Dataset (Source).html

8. Time Series in files (Part 1)

9.1 Format Codes.html

9. Time Series in files (Part 2)

10. loc[] And iloc[] with DatetimeIndex

11. reindex()

12. resample()

11. Matplotlib

1. Introduction

2. Line plots

12. Conclusion

1.1 Kaggle.com.html

1.2 Pandas (Documentation).html

1. Whats next

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تولید کننده: Udemy