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Course Code: DIGTR 114
3952 Course Visits
Data Science and Big Data Analysis
Course Sector:
Digital Transformation and Innovation
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Online, Virtual $2,150
02
5 Days
Abu Dhabi, UAE $4,250
Introduction
Training course introducion / brief
Data science and big data analytics have been one of the vital key players in the business world nowadays. Companies are using trend analysis to make critical decisions to improve consumer engagement, corporate performance, and boost revenue. While Big data analytics allows companies to analyze data and develop business intelligence solutions.
Methods of utilizing data science
This training course is designed to provide participants with the essential concepts, models, and methods of utilizing data science and big data analytics in order to advance in the business environment. This course will focus on topics such as methods of identifying requirements for the application of data science, how these can be adopted, technologies available, selecting analytical models appropriate to provide valuable data, and how to achieve better business results using Big Data and Analytics.
Course Objectives
At the end of the training course, participants will be able to
- Gain a comprehensive understanding of the role of big data in the business.
- Recognize when to apply data analytics and the best methods of approach for application.
- Explore methods and models for statistical evaluation and the advance methods and models for big data analytics.
- Select appropriate models and technology for big data.
- Identify and apply best practices in data analytics.
Course Audience
Who is this course for, and can benefit the most
- Data Analysts
- Data Engineers
- Business and technology leaders
- Business Unit Managers
- Business Development Consultants
- General Managers and Senior Leaders
Course Outline
The course aims and learning outcomes
Big Data Analytics
- Current Practices and trends in Big Data Analytics
- Business Intelligence v Data Science
- Analytical Architecture for Big Data
- Roles for Big Data within the Technology and Commercial Enterprise
- Key Drivers for Big Data Analytics
Data Analytics Models and Lifecycle
- Data Analytics Lifecycle
- Stage 1 - Discovery
- Stage 2 - Preparation of Data
- Stage 3 - Model Planning and Review
- Stage 4 - Model Creation
- Stage 5 - Communication Plan
- Stage 6 - From Planning to Operation
Data Analytical Methods and Programs
- Overview of R Framework
- Overview of Big Data Analytics
- Exploratory Data Analysis
- Statistical methods of Evaluation
- Advanced Methods of Clustering
- Advanced Theory and Methods of Association Rules
- Advanced Theory and Methods of Regression
Advanced Theory and Methods Overview
- Advanced Analytical Theory of Classification
- Advanced Analytical Theory of Time Series Analysis
- Advanced Analytical Theory of Textual Analysis
- Technology and Tools for Advanced Data Analytics
- Case Studies
IMPLEMENTING ANALYTICS WITHIN YOUR ORGANIZATION
- Expanding analytic capabilities
- Breaking down Big Data Analytics into manageable steps
- Integrating analytics into current business processes
- Reviewing Spark, MLib and Mahout for machine learning
Technology, Tools and Achieving Results
- Unstructured Data Analytics
- Advanced Analytical Tools in Database Analytics
- How integrate Data Analytics
- Current Best Practice Management and Approach for Project Delivery
- Data Visualization Overview
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
Since 2001, we have been pioneering the training field in the middle east, we managed to unlock potential and help individuals, teams and organisations to be the best that they can be with our full and integrated solutions.
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