Accenture, a global professional services company, has recently announced the launch of an Exploratory Data Analysis Free course with certificate. This course is designed to help professionals and students alike enhance their data analysis skills and stay ahead in the rapidly evolving digital landscape.
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Table of Contents
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About the Accenture
Accenture plc is an Irish-American professional services company based in Dublin, specializing in information technology (IT) services and consulting. A Fortune Global 500 company, it reported revenues of $64.1 billion in 2023. Accenture’s current clients include 91 of the Fortune Global 100 and more than three-quarters of the Fortune Global 500. As of 2022, Accenture is considered the largest consulting firm in the world by number of employees
Accenture began as the business and technology consulting division of accounting firm Arthur Andersen in the early 1950s when it conducted a feasibility study for General Electric to install a computer at Appliance Park in Louisville, Kentucky, which led to GE’s installation of a UNIVAC I computer and printer believed to be the first commercial use of a computer in the U.S. Joseph Glickauf, an early pioneer of computer consulting, held a position as head of Arthur Andersen’s administrative services division
Highlights of the course
This course is a part of the AI Ascend program.
Initial data exploration is the first step in any data analytics pipeline. This course will equip the participant with the necessary tools of summarizing and visualizing key parameters from the data and draw useful inferences from it.
Job Roles-
Data Scientist
Eligibility Criteria
BE/ BTech students-any stream
Non-engineering students-STEM background
Working Professionals
What will You Learn?
After completing this course, you ought to be capable of:
Recognise the dispersion and central tendency measures.
Possess the ability to examine your data using bar, box, and histogram graphs.
Use scatterplots and scatterplot matrices to investigate pairs of variables.
Recognise the intuition underpinning PCA and be proficient in its use.
Understand how these methods can be integrated into an analytics pipeline for significant business situations.
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Why should you enrol in an Exploratory Data Analysis Free course?
After completing this course, you ought to be capable of:
Recognise the dispersion and central tendency measures.
Possess the ability to examine your data using bar, box, and histogram graphs.
Use scatterplots and scatterplot matrices to investigate pairs of variables.
Recognise the intuition underpinning PCA and be proficient in its use.
Understand how, in key business scenarios, all of these methodologies may be integrated into an analytics pipeline.
Curriculum
This course covers the most widely used techniques for initial data exploration and inference:
Obtaining the basic summary statistics for each variable in the data
Visualizing the distributions of each variable
Visualizing and inferring on the correlation trend between pairs of variables
Reducing the number of multiple correlated variables to a few independent variables using principal component analysis (PCA)
Testing hypothesis for one sample mean
Real-world case study
The instruments covered in the course on exploratory data analysis
Central Tendency
Mean
Median
Mode
Variance
Standard Deviation
Correlation, Boxplot
Scatterplot
Dimensionality Reduction
Certificate
Certificate Earned Joint Co-Branded Participation Certificate
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How To Apply?
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