Data Analysis Fundamentals

Category ID Duration Level Price
Business Analysis 13843 2 Day(s) Foundation $2,595.00

Data Analysis Fundamentals

Live, Online Class Schedule

Delivery Format Date Time Register
Live Online 04/03/2025 - 04/04/2025 8:30 AM - 4:30 PM EST Register
Live Online 06/16/2025 - 06/17/2025 8:30 AM - 4:30 PM EST Register
Live Online 08/21/2025 - 08/22/2025 8:30 AM - 4:30 PM EST Register

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Course Overview

Data Analysis is a process of applying statistical and mathematical techniques systematically to understand, explore, and analyze data to find patterns, and draw inferences that help businesses make data-driven decisions. This typically involves multiple activities such as data collection, exploration, cleaning, pre-processing, and organizing data. Many times, data analysis is an iterative ongoing process where the data is continuously collected and analyzed simultaneously. There are two primary methods for data analysis.

Qualitative techniques and quantitative techniques. Quantitative data analysis techniques involve working with quantitative/numerical data including statistics, percentages, and calculations. These techniques also include working with algorithms, mathematical analysis tools, and software to manipulate data and uncover hidden business value. For example, quantitative data analysis used to assess market data helps a company decide a price for its new product.
Qualitative data analysis involves, working with non-numerical data i.e categorical variables. Qualitative data analysis is also used in many business processes, such as identifying themes and patterns, answering research questions, etc to improve a product.

This course provides an overview of data concepts and what data analysis is and then deep dives into the fundamentals of Data Analysis such as statistics and probability. This course also focuses on widely used data analysis methods such as regression along with detailed steps to perform the same.

*Must have Microsoft Excel in order to complete class activities.

Course Objectives

Lesson objectives help you become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of this course, you will be able to:
Data Analysis process, benefits and use cases
Basic of Probability and Statistics
Measure of data spread and distributions
Inferential Statistics and Hypothesis Testing
Applications of Statistics and Probability theory
Forecast trends using linear regression analysis

Associate Certified Analytics Professional (aCAP)
Certified Analytics Professional
Microsoft Certified Data Analyst Associate

Some familiarity with data terminologies. MS Excel for Exercises.

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