Introduction to Data Science, Machine Learning & AI using Python

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In this Data Science Training in Python course, you will learn how to use Python libraries to build, evaluate, and deploy Machine Learning (ML) and Artificial Intelligence (AI) models that can help you gain previously uncovered insights from your data.

This course covers every stage of the Data Science Lifecycle and teaches you how to manage, transform, and visualize raw data to create predictive models that will help you find and evaluate future opportunities.

Data Science Training in Python Delivery Methods



Data Science Training in Python Benefits

Translate everyday business questions and problems into Machine Learning tasks to make data-driven decisions

Use Python Pandas, Matplotlib & Seaborn libraries to explore, analyze, and visualize data from various sources including the web, word documents, email, NoSQL stores, databases, and data warehouses

Train a Machine Learning Classifier using different algorithmic techniques from the Scikit-Learn library, such as Decision Trees, Logistic Regression, and Neural Networks

Re-segment your customer market using K-Means and Hierarchical algorithms for better alignment of products and services to customer needs

Discover hidden customer behaviors from Association Rules and build a Recommendation Engine based on behavioral patterns

Investigate relationships & flows between people and business-relevant entities using Social Network Analysis

Build predictive models of revenue and other numeric variables using Linear Regression

Gain access to an exclusive LinkedIn group for peer and community support

Test your knowledge with the included end-of-course exam

Leverage continued support with after-course one-on-one instructor coaching and computing sandbox

Data Science in Python Instructor-Led Course Outline
Module 1
What is the required skillset of a Data Scientist?
Combining the technical and non-technical roles of a Data Scientist
The difference between a Data Scientist and a Data Engineer
Exploring the full lifecycle of Data Science efforts within the organization
Turning business questions into Machine Learning (ML) and Artificial Intelligence (AI) models
Exploring diverse and wide-ranging data sources that can be used to answer business questions
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
Module 10
Unlimited Access Data Science in Python Premium Blended Training
Premium Blended Training Benefits

The eBooks and on-demand courses provided as with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend the 5-day instructor-led course or one of our 1-day review sessions, Introduction to Python for Data Analytics.

eBooks (Bundle Only)
On-Demand Videos (Bundle Only)

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