Accenture plc, an Irish-American professional services firm with headquarters in Dublin, focuses on providing IT consulting and services. In 2023, the Fortune Global 500 company recorded $64.1 billion in revenue. More than three-quarters of the Fortune Global 500 and 91 of the Fortune Global 100 are among Accenture’s current clientele. According to the number of employees as of 2022, Accenture is thought to be the biggest consulting firm globally.
In the early 1950s, Accenture was the business and technology consulting branch of the accounting firm Arthur Andersen. It was involved in a feasibility study for General Electric, which resulted in the installation of a UNIVAC I computer by GE at Appliance Park in Louisville, Kentucky.
Best parts of the course
A component of the AI Ascend program is this course.
Any data analytics pipeline starts with initial data exploration. The participant will leave this course with the skills needed to effectively summarize, visualize, and draw conclusions from data by using key parameters.
Positions Held: Data Scientist
Qualifications
Students in BE/BTech, any stream
STEM-background students who are not engineers
Professionals in Work
What Are You Going to Discover?
Following completion of this course, you should be able to:
Acknowledge the measures of central tendency and dispersion.
Understand how to use bar, box, and histogram graphs to analyze your data.
Examine pairs of variables using scatterplots and scatterplot matrices.
Understand the intuition behind PCA and become skilled with its application.
Recognize how these techniques can be incorporated into a pipeline for analytics intended for important business scenarios.
Why should you sign up for a free course on exploratory data analysis?
Following completion of this course, you should be able to:
Acknowledge the measures of central tendency and dispersion.
Understand how to use bar, box, and histogram graphs to analyze your data.
Examine pairs of variables using scatterplots and scatterplot matrices.
Understand the intuition behind PCA and become skilled with its application.
Recognize how each of these approaches may be incorporated into an analytics pipeline in important business scenarios.
Curriculum
The most popular methods for preliminary data exploration and inference are covered in this course:
acquiring each variable’s basic summary statistics from the data
displaying each variable’s distributions visually
displaying and drawing conclusions about the trend of correlation between two sets of variables
Principal component analysis (PCA) is used to reduce the number of multiple correlated variables to a small number of independent variables.
Testing a theory with a single sample mean Case study in the real world
The instruments covered in the course on exploratory data analysis
Central Tendency
Mean
Median
Mode
Variance
Standard Deviation
Correlation, Boxplot
Scatterplot
Dimensionality Reduction
APPLY LINK- https://futureskillsprime.in/artificial-intelligence-and-machine-learning/exploratory-data-analysis