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Data Science Interview Prep
by Arpan Chakraborty , Jimmy Lafontaine Rivera- 0.0
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Approx. 1 week
In this course, you'll learn how to approach an interview not as a test, but a showcase. You'll learn to prepare not through memorization, but through process. You'll learn tips for remaining calm so you can answer with confidence to show your expertise. Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions....
Free
The Importance of Listening
by Randy Hlavac- 4.6
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Approx. 9 hours to complete
In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. Using Free Ubersuggest to learn about your company, competitors & topics of interest...
Evaluating Designs with Users
by Mark Newman- 4.8
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Approx. 8 hours to complete
In this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system. What You Learn Help Us Learn More About You! Interview Data...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Data Basics Introduction to Data Project Exploratory Data Analysis and Introduction to Inference Visualizing Numerical Data Transforming Data Exploratory Data Analysis and Introduction to Inference Project Data Analysis Project Example Data Analysis Project...
Geospatial Analysis Project
by Nick Santos- 4.8
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Approx. 62 hours to complete
In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Extra Practice: Data Analysis Milestone 3: Data Analysis Data Analysis Overview...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
App Marketing
by Lauren Castellano , Roni Bonjack- 0.0
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Approx. 2 weeks
lesson 1 Understand the User Learn to define and create a targeted marketing plan for specific user segments. Learn SEO (search engine optimization) skills to get your first 1000 users. lesson 4 Customer Acquisition Learn about paid and free customer acquisition methods from Ads. lesson 5 Measurement Fundamentals Learn to use data to iterate and optimize your marketing plan....
Free
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Introduction to Business Analytics: Communicating with Data
by Kevin Hartman- 4.6
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Approx. 15 hours to complete
Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients. Learn More About Flexible Learning Paths Lecture 2-1: Understanding The Growth Of Data Lecture 2-2: Evaluating Methods Of Data Access...
Customer Analytics
by Eric Bradlow , Peter Fader , Raghu Iyengar , Ron Berman- 4.6
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Approx. 12 hours to complete
Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions....
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills. Lab session: Mapping Data with Folium Learn what alternative data is and how it is used in financial market applications. Perform data analysis of real-world alternative datasets using Python....
