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Data Analytics Foundations

Explore the power of data analytics and its impact on decision-making across industries. Gain a solid foundation in statistical modeling and learn how to turn data into actionable insights. Enroll in this beginner-friendly course to unlock the potential of data in today's business world.

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  • 18 and older
  • $595
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  • Mon, Jan 13 at 10:00am - 5:00pm
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Class Description

Description

What you'll learn in this data analyst training:

Start exploring data analytics and their use in different industries and organizations. Begin learning about statistical modeling and practice using data to forecast future trends and make decisions.

Learn the Fundamentals of Data Analytics

In this beginner-friendly course, you’ll learn the fundamentals of the data analytics process, including the basics of descriptive statistics, inferential statistics, and data distributions.

Use Data for Decision-Making

Institutions use predictive and prescriptive analytics for forecasting and decision-making. Find out how different industries and organizations apply data, what tools are used, and how Big Data factors into the modern business world.

Explore Statistical Analysis & Modeling

Learn about statistical algorithms, theorems, and models.

Learn more about Data Analytics Foundations at Noble Desktop.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Also available in-person in NYC

Syllabus

Basic Data Analysis

  • Measures of Central Tendency
  • Measures of Position
  • Measures of Dispersion
  • The Normal Curve
  • Descriptive Statistics

Predictive Analytics I

  • Forecasting
  • Series Forecast

Data Visualization I

  • Charts
  • Icon Sets
  • Histograms
  • Moving Average

Predictive Analytics

  • Correlation
  • Regression - overview
  • Regression - analysis
  • Linear regression
  • Multiple regression

Probability

  • Probability I
  • Probability II
  • Binomial Probability
  • Poisson Probability

Prescriptive Analytics I

  • What If Analysis
  • Data Table (3 variables)
  • Scenario Manager
  • Scenario Manager - Pivot

Data Visualization II

  • Sparklines
  • Color Scales
  • Drawing Shapes
  • Pivot Tables
  • Pivot Charts

Prescriptive Analytics II

  • Solver - overview
  • Linear Programming
  • The Solver model
  • Non-Linear Programming
  • Evolutionary Solver

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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