Data_Science_Capstone
IBM Data Science Project(Coursera)
💡 About this Course -> https://www.coursera.org/learn/applied-data-science-capstone?specialization=ibm-data-science
💡 About Data Science Professional Certificate -> https://www.coursera.org/professional-certificates/ibm-data-science
🎉 Labs completed by Mansi More
This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders.
📝 Table of Contents
1️⃣ Week 1 : Data Collection and Wrangling
Collecting the Data via API, Collecting the Data via Web Scraping, Data Wrangling
2️⃣ Week 2 : Exploratory Data Analysis (EDA)
Exploratory Analysis Using SQL, Exploratory Analysis Using Pandas and Matplotlib
3️⃣ Week 3 : Interactive Visual Analytics and Dashboard
Interactive Visual Analytics with Folium, Plotly
4️⃣ Week 4 : Predictive Analysis (Classification)
Machine Learning Prediction
5️⃣ Final Presentation : Present Your Data-Driven Insights
Present Your Data-Driven Insights with Presentation
📚 Extra Study Materials
Dont jump into labs without study. Take time to study previous labs step by step and also practice on your own laptop locally by installing Anaconda. This will also limit the usage of IBM Cloud Trial version.
###### Plotly: https://github.com/plotly
Folium: https://github.com/python-visualization/folium
Confusion Matrix: https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62
© Copyright IBM Corporation
© Copyright 2022 - Mansi More
Built With
- jupyter-notebook
- machine-learning
- python


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