Introduction to Data Science and Machine Learning

Course details

Gain hands-on experience building a machine learning system and have a complete project you can add to your online data science portfolio, andcodeyou can adapt to just about any machine learning problem you may encounter.

This course is a comprehensive, foundational data science course where you'll learneverything you need to know to get started in data science.

Inthis course youplay the role of a data scientist for an online retailer, tasked with identifying sales trends and predicting future sales. To do that youll:

• Take a business problem and turn it into a data question
• Gather and prepare data for modeling
• Test different machine learning models and createpredictions
• Store and visualize the data and your results
• Create reports in many formats charty goodness galore!

Along your journey you get hands-on with the latest machine learning with Python has to offer, including:

• Python machine learninglibraries:Jupyter Notebook,Pandas,PivotTable.js,Scikit-learn,Matplotlib
• Docker
• Spark (PySpark)
• Elasticsearch
• Logstash
• Kibana