Essential Math for Data Analysis using Excel Training

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Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence

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What is Essential Math for Data Analysis using Excel Training about?

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, the second in our Microsoft Excel Data Analyst XSeries, use the powerful tools built into Excel and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. And see how to apply these concepts and principles using Excel's environment, functions, and visualisations.

As a data science pro, the ability to analyse data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to understand your data better. Using real-world concepts applicable to many industries, including medical, business, sports, insurance, and much more, learn from leading experts why Excel is one of the top tools for data analysis and how its built-in features make Excel a great way to learn essential skills.

What are the objectives of Essential Math for Data Analysis using Excel Training ?

Handle data sets for analysis purposes
Understand beginning mathematical notation
Work with different types of data
Summarise data with distributions and graphs
Apply summary statistics to analyse and understand data sets
Calculate business metrics and KPIs to derive business value from data sets
Apply basic inferential math to data
Use tools to forecast future trends in data

Who is Essential Math for Data Analysis using Excel Training for?

Anyone who wants to learn to apply data analysis techniques using Excel
Anyone who wants to become proficient at using Excel for data/business analysis
Anyone who wants to be able to turn data into business insights in Excel
Anyone who wants to be able to run a simply sophisticated analysis of data using Excel
Anyone who wants to learn the most frequently used Excel functions and techniques used by analysts

What are the prerequisites for Essential Math for Data Analysis using Excel Training?

Basic excel proficiency

Available Training Modes

Live Online Training

7 Hours

Self-Paced Training

7 Hours

Course Outline Expand All

Expand All

Module 1: Descriptive Statistics

You will learn how to describe data using charts and basic statistical measures. The new histograms, Pareto charts, Boxplots, and Treemap and Sunburst charts will be used in Excel 2016.

Module 2: Basic Probability

You will learn basic probability, including the law of complements, independent events, conditional probability, and Bayes Theorem.

Module 3: Random Variables

You will learn how to find the mean and variance of random variables and then learn about the binomial, Poisson, and Normal random variables. We close with a discussion of the beautiful and vital Central Limit Theorem.

Module 4: Sampling and Confidence Intervals

You will learn sampling mechanics, point estimation, and interval estimation of population parameters.

Module 5: Hypothesis Testing

You will learn null and alternative hypotheses, Type I and Type II error, One sample tests for means and proportions, Tests for the difference between means of two populations, and the Chi Square Test for Independence.

Who is the instructor for this training?

The trainer for this Essential Math for Data Analysis using Excel Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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