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

IBM Applied Data Science Capstone Project Data Science Professional Certificate

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