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Data Analytics Foundations

Get a working introduction to data analytics and the role it plays across modern industries. You'll explore both descriptive and inferential statistics for forecasting trends and supporting better decisions. The course also examines how organizations apply predictive and prescriptive analytics using Big Data tools, plus the algorithms and models behind real business outcomes.

  • Beginner
  • 18 and older
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  • 185 Madison Ave, New York, NY

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Class Description

Description

Begin your journey into the world of data analytics and discover how organizations across industries apply analytical methods to gain competitive advantages. You will develop foundational knowledge of statistical modeling and practice applying data-driven insights to predict future trends, inform strategic decisions, and solve complex business problems.

Master the Fundamentals of Data Analytics:

This beginner-level course introduces you to the complete data analytics process and its core components. You will learn the essentials of descriptive statistics, inferential statistics, and data distribution analysis, building a solid foundation for advanced analytical work.

Leverage Data for Strategic Decision-Making:

Modern organizations rely heavily on both predictive analytics and prescriptive analytics to forecast outcomes and guide decision-making processes. This course explores how organizations across various industries implement data-driven strategies, the technological tools they employ, and the role that big data plays in shaping today's competitive business environment.

Develop Statistical Analysis and Modeling Expertise:

You will study statistical algorithms, mathematical theorems, and analytical models that form the foundation of professional data analysis work.

Course Prerequisites:

Students should have basic proficiency with Microsoft Excel. Experience equivalent to our Excel Level II: Intermediate course is strongly recommended, though not absolutely required for course completion.

For more information, visit 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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