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Course Code: DIGTR 3613
632 Course Visits
Certificate in Data Analytics
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
Abu Dhabi, UAE $4,250
02
5 Days
Riyadh, KSA $4,250
03
5 Days
Dubai, UAE $4,250
Introduction
Training course introducion / brief
In the age of information, the ability to
translate data into actionable insights is one of the most critical skills for
professionals across industries.
BOOST’s Certificate in Data Analytics is an intensive, hands-on training
program that empowers participants to master the complete data analytics
process — from data collection and cleaning to advanced analysis,
interpretation, and storytelling.
Designed for both beginners and experienced professionals seeking practical expertise, this program provides a robust foundation in statistical thinking, data management, predictive modelling, and communication of findings to drive better decision-making.
Participants will work on real-world case studies, practical exercises, and end-to-end projects to build strong, applied analytics capabilities that can be immediately used to add value in any organization
Course Objectives
At the end of the training course, participants will be able to
- Understand the full data analytics lifecycle and its strategic value.
- Develop critical data wrangling, preparation, and cleaning skills.
- Apply exploratory data analysis (EDA) techniques to discover hidden patterns.
- Perform predictive analytics using regression, classification, and clustering.
- Master data-driven decision-making and storytelling techniques.
- Utilize essential analytics tools such as Excel, Power BI, and Python basics (optional module).
- Build a personal portfolio project to showcase analytics skills.
Course Audience
Who is this course for, and can benefit the most
- Business analysts, marketing analysts, and finance professionals.
- Managers and decision-makers aiming to leverage data for better strategies.
- Consultants and entrepreneurs needing stronger data-driven skills.
Course Outline
The course aims and learning outcomes
Fundamentals of Data Analytics and Data Foundations
- Introduction to data analytics and its importance in modern organizations.
- The data analytics lifecycle: Ask → Prepare → Analyse → Share → Act.
- Types of data: Structured, semi-structured, and unstructured.
- Data sources, data quality, and data governance basics.
- Workshop: Setting up your first analytics project.
Data Preparation and Wrangling Techniques
- Techniques for collecting, cleaning, transforming, and validating data.
- Dealing with missing data, outliers, and anomalies.
- Introduction to SQL basics for data extraction.
- Data preparation best practices in Excel and Power Query.
Exploratory Data Analysis (EDA) and Statistical Thinking
- Introduction to descriptive statistics: Mean, median, standard deviation, etc.
- Visualizing data patterns with charts, graphs, and pivot tables.
- Correlations, distributions, and identifying trends.
- Introduction to hypothesis testing and basic inferential statistics.
Predictive Analytics and Introduction to Machine Learning Concepts
- Understanding supervised vs. unsupervised learning.
- Building predictive models: Linear regression, decision trees, clustering basics.
- How predictive analytics drives business value.
- Introduction to Power BI for data modelling and visualization.
- Case Study: Build a simple predictive model to forecast business outcomes.
Data Storytelling, Decision-Making, and Portfolio Project
- Principles of effective data storytelling and visualization.
- Crafting narratives that drive decisions.
- Communicating findings to non-technical audiences: Executive reporting essentials.
- Final Project: Analyse a real-world dataset from start to finish.
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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