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https://github.com/nouraalgohary/data-scientist-with-python

This repo comprises of my solutions for the tasks assigned in the course.
https://github.com/nouraalgohary/data-scientist-with-python

data data-science data-visualization datacamp datacamp-course datacamp-data-science datacamp-exercises datacamp-solutions-python datascience python

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This repo comprises of my solutions for the tasks assigned in the course.

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README 

        
# Data-Scientist-with-Python



[**Data Camp Track**](https://app.datacamp.com/learn/career-tracks/data-scientist-with-python)



## 01 - Introduction to Python

1. Python Basics

2. Python Lists

3. Functions and Packages

4. NumPy



[**01 - Course**](https://app.datacamp.com/learn/courses/intro-to-python-for-data-science)



[**01 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/blob/main/01%20-%20Introduction%20to%20Python)



## 02 - Intermediate Python

1. Matplotlib

2. Dictionaries & Pandas

3. Logic, Control Flow and Filtering

4. Loops

5. Case Study: Hacker Statistics



[**02 - Course**](https://app.datacamp.com/learn/courses/intermediate-python)



[**02 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main)



## 03 - Investigating Netflix Movies and Guest Stars in The Office 



[**03 - About the project**](https://app.datacamp.com/learn/projects/entertainment-data/guided/Python)



[**Project notebook**](https://app.datacamp.com/workspace/w/01f43590-0898-46b1-a48e-ea768c85c8cb/edit)



## 04 - Data Manipulation with pandas

1. Transforming DataFrames

2. Aggregating DataFrames

3. Slicing and Indexing DataFrames

4. Creating and Visualizing DataFrames



[**04 - Course**](https://app.datacamp.com/learn/courses/data-manipulation-with-pandas)



[**04 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/blob/main/04%20-%20Data%20Manipulation%20with%20pandas)



![C4](https://user-images.githubusercontent.com/103903785/199074293-4c998866-59c6-4cc3-b7e1-e9e95356c045.png)



## 05 - Joining Data with pandas

1. Data Merging Basics

2. Merging Tables With Different Join Types

3. Advanced Merging and Concatenating

4. Merging Ordered and Time-Series Data



[**05 - Course**](https://app.datacamp.com/learn/courses/joining-data-with-pandas)



[**05 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/05%20-%20Joining%20Data%20with%20pandas)



## 06 - Introduction to Statistics in Python

1. Summary Statistics

2. Random Numbers and Probability

3. More Distributions and the Central Limit Theorem

4. Correlation and Experimental Design



[**06 - Course**](https://app.datacamp.com/learn/courses/introduction-to-statistics-in-python)



[**06 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/06%20-%20Introduction%20to%20Statistics%20in%20Python)



![C6](https://user-images.githubusercontent.com/103903785/199073580-1c27a723-9a4f-45a7-84e6-3612683d8dbf.png)



## 07 - The GitHub History of the Scala Language



[**07 - About the project**](https://app.datacamp.com/learn/projects/163)



[**Project notebook**](https://app.datacamp.com/workspace/w/7c527d97-1156-4947-9633-af2cb3d2bf34/edit)



## 08 - Introduction to Data Visualization with Matplotlib

1. Introduction to Matplotlib

2. Plotting time-series

3. Quantitative comparisons and statistical visualizations

4. Sharing visualizations with others



[**08 - Course**](https://app.datacamp.com/learn/courses/introduction-to-data-visualization-with-matplotlib)



[**08 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/08%20-%20Introduction%20to%20data%20visualization%20with%20Matplotlib)



## 09 - Introduction to Data Visualization with Seaborn

1. Introduction to Seaborn

2. Visualizing Two Quantitative Variables

3. Visualizing a Categorical and a Quantitative Variable

4. Customizing Seaborn Plots



[**09 - Course**](https://app.datacamp.com/learn/courses/introduction-to-data-visualization-with-seaborn)



[**09 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/09%20-%20Introduction%20to%20Data%20Visualization%20with%20Seaborn)



## 10 - Introduction to NumPy

1. Understanding NumPy Arrays

2. Selecting and Updating Data

3. Array Mathematics!

4. Array Transformations



[**10 - Course**](https://app.datacamp.com/learn/courses/introduction-to-numpy)



[**10 - Slides**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/10%20-%20Introduction%20to%20Numpy/Slides)



[**10 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/10%20-%20Introduction%20to%20Numpy)



## 11 - Python Data Science Toolbox (Part 1)

1. Writing your own functions

2. Default arguments, variable-length arguments and scope

3. Lambda functions and error-handling



[**11 - Course**](https://app.datacamp.com/learn/courses/python-data-science-toolbox-part-1)



[**11 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/11%20-%20%20Python%20Data%20Science%20Toolbox%20(Part%201))



## 12 - The Android App Market on Google Play



[**12 - About the project**](https://app.datacamp.com/learn/projects/android-app-market/guided/Python)



[**Project notebook**](https://app.datacamp.com/workspace/w/41b189a8-074a-4add-90f7-a9ef363c6d99)



## 13 - Python Data Science Toolbox (Part 2)

1. Using iterators in PythonLand

2. List comprehensions and generators

3. Bringing it all together!



[**13 - Course**](https://app.datacamp.com/learn/courses/python-data-science-toolbox-part-2)



[**13 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/13%20-%20Python%20Data%20Science%20Toolbox%20(Part%202))



## 14 - Intermediate Data Visualization with Seaborn

1. Seaborn Introduction

2. Customizing Seaborn Plots

3. Additional Plot Types

4. Creating Plots on Data Aware Grids



[**14 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/blob/main/14%20-%20Intermediate%20Data%20Visualization%20with%20Seaborn)



![C14](https://user-images.githubusercontent.com/103903785/199074660-dcd8968a-9640-45ee-bb57-7c4347355062.png)



## 15 - Data Communication Concepts

1. Storytelling with Data

2. Preparing to communicate the data

3. Structuring written reports

4. Building compelling oral presentations



[**15 - Course**](canva.com/linkedin-banners/templates/)



## 18 - Introduction to Importing Data in Python

1. Introduction and flat files

2. Introduction to Importing Data in Python

3. Working with relational databases in Python



[**18 - Course**](https://app.datacamp.com/learn/courses/introduction-to-importing-data-in-python)

[**18 - Assignments**](https://github.com/NouraAlgohary/Data-Scientist-with-Python/tree/main/18%20-%20Introduction%20to%20Importing%20Data%20in%20Python)