Data Science Skills Lab

Skills Lab: Linear Programming – Optimization Method for Businesses

Instructor: Viktor Kiss

Learning objectives:

• Understand the basic principles behind linear programming
• Describe what linear programming is and how it can be used by businesses
• Create linear programming models for maximization and minimization problems
• Solve linear programming problems and learn from examples and models
• Interpret the output of the model and determine how changing the inputs would affect the outcome

Skills Lab: Monte Carlo Simulation – Building Uncertainty into Business Decisions

Instructor: Viktor Kiss

Learning objectives:

• Describe how uncertainty plays a role in business decisions, and how the monte carlo method utilized through monte carlo simulation can help to understand it
• Use different types of random distributions to model certain events
• Use monte carlo simulation to create models that simulate business scenarios
• Interpret the output of the monte carlo model and determine the impact of changing the inputs of the simulated system

Skills Lab: Problem Solving with Python

Instructor: Thyago Mota

Learning objectives:

• Gain an understanding of python programming and scripting language
• Describe how the concepts of computer science are applied to solve real-world problems
• Create programs in Python and other scripting and coding languages by using  assignments, conditions, loops, functions, and objects.
• Break down problems in python using top-down design and functional decomposition

Lab: Understanding Python Libraries for Data Science

Instructor: Rajan Ranjidha

Learning objectives:

• Understand data retrieving and cleaning
• Understanding of data visualization

Skills Lab: Introduction to Statistics (1 of 4)

Instructor: Christopher Nelson

Learning objectives:

• Understand different data types through utilization of data analysis  tools
• Understand the levels of measurement
• Understand what descriptive statistics is
• Calculate and interpret the results of measures of central tendency using MS Excel
• Calculate and interpret the results of measures of variation using MS Excel

Skills Lab: Inferential Statistics (2 of 4)

Instructor: Christopher Nelson

Learning objectives:

• Understand confidence intervals using data science skills and data analysis tools
• Calculate confidence intervals for m (population mean) and interpret the results using MS Excel
• Calculate and interpret the results of various hypothesis tests involving a population mean using MS Excel

Skills Lab: Advanced Statistical Analysis (3 of 4)

Instructor: Christopher Nelson

Learning objectives:

• Calculate and interpret the results of data analysis of variance tests involving the equality of three or more population means using MS Excel
• Perform bi-variate regression analysis to develop and interpret a regression equation using MS Excel
• Perform multiple regression analysis to develop and interpret a regression equation using MS Excel

Skills Lab: Data Simulation and Forecasting (4 of 4)

Instructor: Christopher Nelson

Learning objectives:

• Understand the methods and purpose of data simulation and data analysis
• Solve various problems through data simulation techniques using MS Excel
• Understand various methods used in forecasting data using data analysis and reporting
• Apply forecasting techniques using MS Excel

Alteryx Academy

Dive deeper into solving problems with Alteryx, explore new frontiers in your data analytics and data science  journey, and push yourself to prove and improve your skills with our Certification Program.

Dataiku is a user-friendly platform that helps data scientists analyze data, collaborate on projects, and generate learning models.

Dataiku Concepts Overview

With MSU Denver’s Dataiku training through this online course, learn the core Dataiku concepts, including datasets, the lab, the flow, recipes, and collaboration.

Connect to Data

Learn how Dataiku connects to your existing infrastructure; including fetching data from remote sources, accessing cloud storage – and data through plugins.

Data Preparation

Learn how to prepare data with Dataiku visual recipes and through use cases.

Machine Learning

Learn how Dataiku makes it easy to build machine learning models, deploy them to a production environment, and score new records.

Data Visualization

Learn how to create charts, dashboards, and web apps in Dataiku.

From Excel to Dataiku DSS

With Dataiku you can do all the operations and analytics you’re used to in Excel, while making the most of its big data capabilities!

Automation and Real Time Scoring

Dataiku DSS has features for monitoring and scheduling, an automation node for deployment to production and real-time scoring.

Working with Code

Dataiku lets you access and process the data using your favorite coding language, use the notebooks to prototype your recipes.

Dataiku APIs

Learn the Dataiku APIs, including datasets, the lab, the flow, recipes, and collaboration.

Administration of Dataiku DSS

Learn about the set up and maintenance of Dataiku DDS.

Big Data Architecture

Learn how Dataiku leverages Hive, Impala, Spark H2O, partitions, and other elements of your big data environment.

Turn data into opportunity with Microsoft Power BI data visualization tools. Drive better business decisions by analyzing your enterprise data for insights.

Power BI: Get Started

Power BI documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Power BI for consumers

As a consumer, you receive dashboards and reports from colleagues. You work in Power BI to review and interact with this content to make business decisions.

Administer Power BI

Power BI admin and enterprise documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Develop in Power BI

As a power BI developer you can embed Power BI content, develop a Power BI visual and automate Power BI processes.

Connect to data

Power BI documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Create reports and dashboards

Power BI documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Collaborate and share

Power BI documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Power BI in the mobile apps

Power BI documentation provides expert information and answers to address your needs, no matter how you use Power BI.

Microsoft Azure Machine Learning Studio

Invent with purpose, realize cost savings, and make your organization more efficient with Microsoft’s Azure’s open and flexible cloud computing platform.

SAS develops and markets a suite of data science and data  analytics software, which helps access, manage, analyze and report on data to aid in decision-making.

SAS Online Training

SAS is the leader in analytics. SAS develops and markets a suite of analytics software, which helps access, manage, analyze and report on data to aid in decision-making.

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Creator, Explorer, Viewer, Admin

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.