Learn to make the best use of your data by knowing how to gain valuable insights and visually communicating the results.
The most comprehensive and easy-to-understand introduction to Data Science, led by a data sciene expert. Supplemented by quizzes, resources and a course completion certificate.
What will you learn?
- Demonstrate a fundamental understanding of Data Science and it’s interlock with product management
- Learn about some common terminology and tools used in data science
- Be able to work effectively with data science teams to build great products
- Ability to jumpstart a career as a Data Smart Manager
No pre-requisites or prior experience is mandatory, although experience with working in product or data science companies is recommended.
Today, a lot of companies are opening their doors to data science to unlock its power, thereby increasing the value of a data scientist who is skilled to play around with the data at hand.
Data science, without doubt adds value to business by the addition of statistics and insights across workflow. Data science can also add value across all industries.
This e-learning course by the Institute of Product Leadership is a foundational course that gives you an insight into the basics of data science. Starting from the very basics of “What is data science?”, the course curriculum introduces students to the concepts of data science, building product with data science at its core and the skills required to be a data smart product manager.
15+ years of product management leadership, with a proven track record in new product development, strategic planning, go-to-market, and team building with a focus on Enterprise Cloud, Data Science and Mobile.
Immensely passionate about creating lasting products, bringing them to market and driving customer success. Held product leadership roles in Fortune 500 to pre-IPO startups, crafting and evangelizing the product vision, defining the product roadmap and guiding product direction, creating product positioning & messaging platforms and leading product development and adoption.
Specialties: Enterprise Software, Mobile, B2B, Cloud Computing, SaaS, Software Product Management, Design, Strategy, Product Marketing, Lean Startups, Agile, Product planning, Competitive positioning, Packaging & Pricing
Start2.1: Analysis Methods (0:42)
Start2.2: Descriptive Analysis (1:01)
Start2.3: Predictive Analysis & Prescriptive Analysis (3:06)
Start2.4: Big Data Terminologies (2:14)
Start2.5: Data Science Algorithms (2:25)
Start2.6: Principal Component Analysis (0:54)
Start2.7: K-Means Clustering (1:10)
Start2.8: Association Rules (1:46)
Start2.9: Page Rank Algorithm (0:32)
Start2.10: Regression Analysis (0:50)
Start2.11: K-Nearest Neighbors (1:15)
Start2.12: Decision Trees (1:22)