DataSimple Guided Projects
Data science and learning how to code Python or really any coding language is unlike learning a traditional academic skill. Learning to write Python and build Machine or Deep Learning models is more like learning to paint in that we need to explore what is possible and how to follow your imagination in how we perform data analysis, pre-processing the data for our machine learning model, or architecting our deep learning model.
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There are just so many possibilities out there that it's hard to know where to start. In this section, we have our free to use Python guided projects we practice data analysis with Pandas and Seaborn, machine learning with Sklearn and deep learning with Tensorflow.
Python Data Analysis Bootcamp
Choose your Learning Path
Python Data Analysis
Guided Projects
Take a deep dive into data analysis with Pandas and Seaborn. The Python library make beautiful plots but also enhances the ability to extract insights from your data analysis. We'll go over tips from beginner to advanced on how to the the most from your Python Data Analysis in seaborn.
Python Data Analysis with Pandas and Seaborn
Level 1, 15 minutes
Use your Python data analysis skills to study what happened when isolated islanders were given drugs. Perform data analysis on a medical dataset with Pandas and learn how to build your first workflow to extract insights to will provide real-world understanding.
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SuperMarket Customer Analytics
Level 4, 17 minutes
Write your own user defined and use the .apply function in Pandas to apply the functions and provide valuable business insights to this Supermarket chain using your data analysis skills. Extract insights and compile them in interesting ways in the summary.
Level 5, 33 minutes
We will use Pandas and Seaborn to perform our data analysis and better understand when new titles are released. Use WordCloud in Python to better understand the most common words in Movie and TV Show titles.
Level 7, 26 minutes
From the years 1966 to 2022 we will explore the Sri Lanka economy in our economic data analysis. We will attempt to develop a theory as to why the Sri Lanka economy turn into the 2022 economic crisis. Use the data to understand this real would economic situation.
Level 2, 29 minutes
We will use our Python data analysis skills in this beginner data analysis project to understand the eye color, fur color, and height of common dog breeds.
To start our Python data analysis project we will start by doing a little processing to enable our analyses. This is needed because of the semi-structured data format that happens when we have a list of different sizes.
Develop Marketing Campaign from Customer Data
Level 3, 29 minutes
In the development of a marketing strategy or atleast many different ideas for a marketing strategy based on the data. We get practice collecting observations and then at the end of our project we put these insights together in creative ways to offer ideas for a potential marketing strategy based on our data analysis.
Level 5, 35 minutes
Write your own user defined and use the .apply function in Pandas to apply the functions and provide valuable business insights to this Supermarket chain using your data analysis skills. Extract insights and compile them in interesting ways in the summary.
Level 6, 23 minutes
Use your data analysis skills to understand Data Analyst job listing and understand Data Job Market better. Explore job titles of different analyst positions business analyst, data analyst, BI analyst, and see what in what industries these sub-job groups are popular in
Spaceship Titanic Data Analysis Machine Learning Prep - Level 8, 23 minutes
Use pandas and seaborn in Python to analyze the spaceship titanic data from the Kaggle competition as if you were prepping it for a data scientist. extract insights using pandas seaborn and created user-defined functions to keep your analyses clean and to the point coding.
Python Real Data Analysis
Guided Projects
Real data sets have added difficulties that datasets found on Kaggle just don't have. On the job you will be working with these issues and in the Python Real Data Analysis we will our real datasets, Google Forms Survey Responses, Google Analytics and so much more and analyze real-world business problems.
Python Real Data Analysis with Pandas and Seaborn
Google Forms Survey Responses Guided Projects
Level 3, 21 minutes
We will use Pandas and Seaborn to understand the responses on Googles form. The goal of this survey was to understand how to improve these guided projects. However to analyze the data we need to spend a little extra time cleaning up the data which is common in real world datasets.