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Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
by Sharad Borle- 4.7
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Approx. 21 hours to complete
Module 1: Basic Data Descriptors These descriptive measures summarize and present data using a few numbers. • Categories of descriptive data • Probability and random variables; discrete versus continuous data Working with Distributions (Normal, Binomial, Poisson), Population and Sample Data Population and Sample data Population and Sample data Working with Distributions (Normal, Binomial, Poisson), Population and Sample Data...
The Java Language
by Jim Sullivan- 0.0
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Approx. 7 hours to complete
In this course, we'll take a look at Java data types, discuss what primitive data types are, and explain data classes. Java as a Second Language-the Java Language: Java Data Types Java Data Types Video 1 Java Data Types Video 2 Primitive Data Types Lab 1: Primitive Data...
Python Data Visualization
by Scott Rixner , Joe Warren- 4.7
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Approx. 9 hours to complete
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data....
Data-driven Astronomy
by Tara Murphy , Simon Murphy- 4.8
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Approx. 24 hours to complete
Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. Week 2: Big data makes things slow Week 3: Querying data using SQL - How to use databases to analyse your data...
Interventions and Calibration
by Nimalan Arinaminpathy- 4.6
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Approx. 24 hours to complete
Confronting Models with Data - Part A Relationships Between Models and Data Modelling with Insufficient Data Modelling with Sufficient Data Confronting Models with Data - Part B Confronting models with data – Part C Identify the relationship between models and real-world epidemiological data...
Problem Solving with Excel
by Alex Mannella- 4.7
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Approx. 20 hours to complete
vLookups and Data Cleansing Use VLOOKUP, data validation and multiple VLOOKUPs together Data Cleansing: Values - CLEAN- 1a Data Cleansing: Values - CLEAN -1b Data Cleansing: Values - TRIM Data Cleansing: Values - SUBSTITUTE -3a Data Cleansing: Values - SUBSTITUTE - 3b Data Cleansing: Values - STORED AS TEXT Data Cleansing: Values - De-DUPLICATING...
Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
* How basic file systems operate, and types of file systems used to store big data Big Data Analytics Segment 1 - Learning Outcomes, Definition of Big Data Segment 2 - Importance of Big Data, Characteristics of Big Data Segment 3 - Size of Big Data Segment 5 - Role of Statistics and Data Mining...
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Types of Data Science Questions Data Needs Describe different types of data analytic questions Conduct hypothesis tests of your data Apply machine learning workflows to detect complex patterns in your data...
Artificial Intelligence for Trading
by Cindy Lin , Arpan Chakraborty , Elizabeth Otto Hamel , Eddy Shyu , Brok Bucholtz , Parnian Barekatain , Juan Delgado , Luis Serrano , Cezanne Camacho , Mat Leonard- 0.0
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6 Months
Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Specific roles include: Quantitative analyst Quantitative researcher Investment analyst Data intelligence analyst Risk analyst Desk quant Desk strategist Financial engineer Financial data scientist...
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 17 hours to complete
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. In this course we will cover what data visualization is and define some of the basic types of data visualizations....
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