Effective data analysis starts with good data collection and/or selection. Conducting this requires good comprehension of all data types and their multiple sources. Furthermore, structuring that properly allows the ease of its visualization under different charts and describes all the results with adequate and efficient descriptive statistics measures.
This course starts with key points in designing a smart data collection process, sampling best approach, validating the quality of the information stored for analysis, and understanding all the visualization possibilities and their corresponding descriptive statistical KPIs. Moreover, this course explores all techniques and tools for comprehensive data analysis, prior to kicking off any work or even a career in the world of data. The course also serves as a primer to any Machine Learning course/program.
In addition, this course is designed to make participants have a clear and complete understanding of data structuring for efficient data analysis, of profiling different groups scientifically by analyzing data smartly and efficiently, and of appropriately manipulating several technology tools now in the market.
Each statistical tool or methodology used during the course is supported by its own case study with step by step outputs that go in parallel with multi stage analysis.
In addition to group discussions, all analysis tools are detailed and demonstrated with sequential screen shot applications on comparative technologies (EXCEL – STATISTICA and SAS – R and Python).
By the end of the course, participants will be able to:
Applied Data Analysis is the foundation for all Machine Learning and Artificial Intelligence (AI) practitioners. It is prerequisite knowledge that is applicable in all industries and data related functions.
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.
Fees + VAT as applicable
(including coffee breaks and a buffet lunch daily)
Discount Plans & Cancellations PolicyMeirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.
Tax Registration Number: 100239834300003
This course is also offered in Virtual Learning, click on the course below.
Each statistical tool or methodology used during the course is supported by its own case study with step by step outputs that go in parallel with multi stage analysis.
In addition to group discussions, all analysis tools are detailed and demonstrated with sequential screen shot applications on comparative technologies (EXCEL – STATISTICA and SAS – R and Python).
By the end of the course, participants will be able to:
Applied Data Analysis is the foundation for all Machine Learning and Artificial Intelligence (AI) practitioners. It is prerequisite knowledge that is applicable in all industries and data related functions.
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.
Fees + VAT as applicable
(including coffee breaks and a buffet lunch daily)
Discount Plans & Cancellations PolicyMeirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.
Tax Registration Number: 100239834300003
This course is also offered in Virtual Learning, click on the course below.
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Course :
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UAE Tax Registration Number
100239834300003
KSA Tax Registration Number
311655469100003
UAE Tax Registration Number
100239834300003
UAE Tax Registration Number
100239834300003
KSA Tax Registration Number
311655469100003
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