Accenture‘s Data Processing & Visualisation Free Courses With Certificate in 2024, you should focus on key points such as the course details, benefits, and enrollment process.
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Table of Contents
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About the Accenture
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 firm 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 workers as of 2022, Accenture is considered to be the biggest consulting firm globally.
Highlights of the course:
This course is a part of the AI Ascend program.
This course covers the fundamental concepts of data processing and visualization.
The course includes data preprocessing steps such as data cleaning and normalization.
Also, the importance of data visualisation has been covered.
Two important Python libraries for visualization, matplotlib and seaborn, have been included.
Job Roles-
Data Scientist
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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 data cleansing methods.
Utilise DataFrames for sorting and aggregation.
To present the findings of your data research, create visualisations.
Apply several methods of data normalisation according to the distribution of the underlying data.
Reasons to consider taking the Data Processing & Visualisation course
After completing this course, you ought to be capable of:
Recognise data cleansing methods.
Utilise DataFrames for sorting and aggregation.
To present the findings of your data research, create visualisations.
Apply several methods of data normalisation according to the distribution of the underlying data.
Course Content
This course is appropriate for individuals who are new to data science, as it covers the essential principles of data processing and visualisation through the use of the Python programming language.
Preprocessing, data visualisation, and data cleansing are some of the core concepts covered in the course on working with data.
The ideas and how they are applied at each level are covered in the course design.
Appropriate illustrations and examples have been used to convey the information interestingly.
The instruments covered in the course on data processing and visualisation
Preparing and cleansing data
Pandas data types
Frames for Data
Data visualisation and data normalisation plot
Python Matplotlib
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Certificate
Certificate Earned Joint Co-Branded Participation Certificate
How To Apply?
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