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Data Analytics Foundations

Discover the essentials of data analytics and their pivotal role in various industries. Dive into descriptive and inferential statistics to forecast trends and enhance decision-making. Gain insights into how organizations leverage predictive and prescriptive analytics using advanced tools and Big Data, while mastering statistical algorithms and models to drive business success.

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  • 18 and older
  • $595
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  • 185 Madison Ave, New York, NY
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  • Mon, May 12 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.

This course has a prerequisite:

Students should feel comfortable using Excel at a basic level. Experience equal to our Excel Level II: Intermediate class is strongly recommended, but not required.

Learn more about Data Analytics Foundations at NYIM Training.

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 11 business days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price).
  • Cancellations within 11 business days are not permitted, but students may reschedule up to 4 business days before the class start date.

For cancellations and reschedules, please email us at [email protected]

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All classes at this location

We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

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