Description
Introduction
Whether you own a business or work for a large organisation, you’ll need to understand the fundamentals of data collection and analysis. Data serves a significant role in many parts of a business, including marketing, accounting, production, quality, sales and customer service.
Grant Thornton Bahrain’s training programmeme on "Certification in Data Analytics will help you to understand how to transform data into business and operational insights, maximise the value of data for your organisation, rapidly analyse thousands of curated data sets and develop reporting dashboards that enable easier access to data.
Our experience working with dynamic high-growth businesses and building unique, market-leading analytics platforms gives us unrivalled insights into how data can be used to transform organisations.
Program Deliverables:
Course
The programmeme will focus on:
- structuring data, sourcing the right data, managing the planning, design and execution of an analysis, and helping communicate, interpret and implement the results
- identifying, remediating and resolving the risk analytics and data management deficiencies
- understanding your customer better through segmentation, identification and targeting, and supporting effective marketing strategies and campaigns
- creating high-performing structures, processes and technology-enabled delivery models
- gaining access to real-time, actionable customer and market information to make informed and multi-layered business decisions
- defining strategy, processes and key performance indicators as per industry best practices to monitor the overall performance against the competitors
Who Should Attend -
- Professionals
- Entrepreneurs
- Students
- Business analysts
- Business intelligence managers
- Statisticians and analysts
- Data scientists
- Project managers
Deliverables -
- 25 hour of eLearning video content
- Case studies
- Our study material
- Access to GT LMS for a period of 1 year
- Assessment
- Certificate of Completion on basis of scoring minimum marks in assessment
Program agenda
- Introduction to Data Analytics
- Introduction to R
- R programmeming
- R programmeming - Case Study
- Customer Churn
- Data Visualization :Various graphs, charts
- Data Visualization : Advance
- Descriptive Statistics: Basic statistical techniques including data properties:
- Hypothesis testing
- Dplyr package
- Linear Regression Model
- Multinomial Linear Regression
- Multinomial Linear Regression - Case Study
- Logistic Regression
- Multinomial Logistic Regression
- Multinomial Logistic Regression - Case Study
- Introduction to Artificial intelligence, ML and Deep learning
- Neural Networks
- Support Vector Machines (SVM)
- Support Vector Machines (SVM) - Case Study
- Decision Tree
- k-nearest Neighbours
- k-nearest Neighbours - Case Study
- Clustering ( K Means)
- Principle Component Analysis
- Principle Component Analysis - Case Study
Our Fees Includes
- E Learning Videos
- GT course material
- Certificate of completion
Cancellation and refund policy
The refund policy in case of withdrawal of nomination would work as follows:-
- A refund of 50% of the fee would be provided for cancellation requests received up to five working days before the training start date
- Participants who cancel in less than five working days, or there is no show on the training date are liable to pay the full course fee and would not be entitled to refunds.
Cancellations must be made via emails only. However desirous participants can be accommodated in the future batches of programme, without paying anything extra. It is requested that willingness to attend any future programme should be communicated at the earliest convenience.
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