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Data Science: Data Analyst – Including Exam (GK821721)

This 3-day Data Science: Data Analyst course covers the advanced skills required for a candidate to build their knowledge and understanding regarding the Data Science principles, concepts, terminology and uses along with the tools that can be applied to real business cases.
Candidates will expand on all aspects around knowledge and understanding of Data Analysis concepts as well as application of some common data analysis skills and tools.
The purpose of this qualification level is to confirm that a candidate is well versed in the Data Science advanced concepts in the cognitive levels of knowledge, understanding and application and be able to understand basic terms, concepts and terminology, know the tools that can be used in real life cases and apply the appropriate skills required.

Kurskode GK821721 Kategori , Underkatergori

COURSE OBJECTIVE:
At this qualification level, candidates will be introduced to advanced concepts, principles and skills of Big Data as well as the Data Science concepts, philosophies and principles.
Holders of the PeopleCert Data Science: Data Analyst will be able to demonstrate their knowledge, understanding and practical application of:

• The basics of Data Science (recap of the PeopleCert Data Science: Foundation course)
• Key concepts of Programming (with R/Python)
• Key concepts of Data Management and Business Intelligence
• Probability and Statistics and Advanced Statistical topics
• Machine Learning and Artificial Intelligence (AI)
• Visualization
• Data Governance, Data Anonymization

TARGET AUDIENCE:
This course is aimed at anyone who wishes to obtain advanced skills of Big Data and Data Science and requires candidates to have and demonstrate a thorough knowledge, understanding and application of the Data Science terms, concepts, tools, and principles. The certification can also cater for candidates seeking personal certification.
The certification will provide all the required levels of knowledge to its holders and will certify that they have a thorough understanding and application of Big Data and Data Science concepts.

COURSE PREREQUISITES:
Not available. Please contact.

COURSE CONTENT:
Day #1

• Welcome and Course Introduction and details
• Introduction to Data Science
• Data Management
• Probability and Statistics
• Programming Skills with Python
• Review Day 1 and Introduction to Day 2
Day #2

• Introduction to Day 2
• Visualization of Data
• PowerBI
• Business Skills
• Review Day 2 and Introduction to Day 3
Day #3

• Machine Learning
• Artificial Intelligence
• Data Governance
• Wrap Up and Review

FOLLOW ON COURSES:
Not available. Please contact.

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