AI vs machine learning explained for data analysts: definitions, distinctions, real business applications, career considerations, and common mistakes.
Statistics for Data Analytics & Data Science
Descriptive, Inferential, Predictive & Prescriptive Statistics
Course Objective
Comprehensive program to obtain solid foundation in descriptive, inferential, predictive & prescriptive statistical concepts as well as data analytics and interpretation.
All fundamental concepts in Statistical Significance Hypothesis testing like t-test, ANOVA, Regression, Chi Square will be covered as well as predictive modeling using Regression, Classification etc .
Suitable For
For executives and researchers engaged in Data Analytics, Interpretation & Reporting for performance Measurement, Quality, Innovation, Forecasting across different Industries.It is a Must for those aspiring to work in the field of Data Science, Machine Learning & AI as it provides a robust foundation in creating advanced and effective ML and AI models and applications.
Ambeone’s ‘Statistics for Data Analytics & Data Science ‘ Course provides comprehensive training in Statistics fundamentals & will help you in basic as well as advanced Data Analytics & Interpretation in any Business Domain. It will also create strong foundation for a career in Data Science, Big Data Analytics, Machine learning and Artificial Intelligence.
The program aims to introduce participants to the all the important concepts in Descriptive, Inferential as well as Predictive statistics as well as its prescriptive application in business and research.
Statistics is an over-looked gem in the corporate world. Maybe because it was always thought to belong to academia, where conclusions to hypothesis needed to meet precise thresholds. While in the corporate world, decisions were made based on the intuition of the experience. Or maybe because there just wasn’t enough data or technological capabilities to warrant decisions being made based on results of precise statistical models.
However, today with the Big Data revolution, leading companies around the world are employing advanced statistical methods to guide their growth in business. Everywhere you look, there is data. Correctly applying the right statistical methods and techniques is the key to unlocking the power hidden in data.
In our Foundation in Statistics Certification, we will cover all basic concepts in statistics which creates strong foundation in analytics and interpretation of data accurately.
Foundation in Statistics Certification Concepts and Techniques Covered
- Principles of Statistical Data Analysis
- Understanding sources of data
- Types of Variables
- Measures of Central Tendency
- Measures of Dispersion
- Random Variables
- Sampling Techniques & Estimation
- Sampling Strategies & Experimental Designs
- Probability Distributions
- Binomial, Normal, t, F, Chi Square Distributions
- Statistical Inferences using Hypothesis Testing
- Z-test, t-test, Chi Square tests
- Correlation and Regression
- ANOVA, MANOVA
- Foundations of Statistical Modeling
- Non-Parametric tests
Once you have mastered employing these Statistical Techniques & Models, you will gain keen clarity in coming up with conclusions and making decisions for a variety of business applications. Furthermore, you will become confident in making business recommendations, after all, look at the numbers!
Also, we are pretty sure you will be interested in continuing your journey and going beyond the limitations of spreadsheets and into the creative and advanced world of Data Science, Big Data Analytics & Predictive Modeling!
| Level | Course Name | Know More |
|---|---|---|
| Level O -Base | AI Literacy & Productivity Courses. Using GenAI, LLM, ChatGPTs for Business Efficiency | Click here |
| Level I | Fundamental of Data Analytics & Interpretation ,Simple Measures of Data | Click here |
| Level II | Business Analytics with KPI Measurement using Statistics and Power BI/Tableau | Click here |
| Level III | Statistics for Data Analytics & Data Science | Click here |
| Level IV | Big Data Analytics & Visualization with R | Click here |
| Level V | Advanced Data Mining & Manipulation with Python | Click here |
| Level VI | Predictive Modeling & Evaluation with Machine Learning | Click here |
| Level VII | Advance Machine Learning and Artificial Intelligence with R & Python | Click here |
| Level VIII | Applied Analytics-Using Data Science & Machine Learning in Business Analytics | Click here |
| Level IX | Neural Network & Unsupervised Learning for Advanced AI | Click here |
Course Duration
32 Hours of Instructor Led Sessions
+
40 Hours of Case Studies & Assignments
Course Format
Five days intensive Bootcamps/Workshops for Corporate batches
or
Weekend Sessions for Public batches
Course Pre-requisite
Participants in this course must have completed our course on Fundamentals of Data Analytics
or
Must demonstrate good understanding of the topics by passing an examination prior to course registration
It will also be beneficial if the course participants have some business and analysis experience in order to understand applications of statistical techniques in business environments.
Foundation in Statistics Training Course Schedule
| Course | Course Format | Start Date | Duration | Register |
|---|---|---|---|---|
| Business Analytics Program | Weekday/Weekend | 17th Jan 2026 | 6 Weeks | Register Here |
| Inferential Statistics for Analytics & Data Science | Weekend Morning | 18th Jan 2026 | 8 Weeks | Register Here |
| Business Analytics Program | Weekday/Weekend | 7th Feb 2026 | 6 Weeks | Register Here |
| Inferential Statistics for Analytics & Data Science | Weekend Morning | 14th Feb 2026 | 8 Weeks | Register Here |
Ambeone’s Foundation in Statistics Certification Training Course Details
- Duration of the course is 32 hours of Instructor Led class room training with 40 hours of self/group study & assignments.
- This course is offered as,
- 5 Days Intensive Boot-Camp.
- Evening Classes. Two 2-hour sessions a week for Eight weeks in the evenings.
- Weekend Classes : 4-Hour sessions on a weekend for Eight Weeks
- As part of our Six Month Associate in Big Data Analytics.
- We currently offer this course Dubai and Abu Dhabi, UAE.
- Checkout our course schedule more information.
- Participants must bring their own laptop with Microsoft Excel installed in it.
- All training topics covered in the Fundamental Statistics course will be taught using relevant industry specific case studies and examples.
- This training course is very hands-on/practical and is not a lecture or seminar. Participants will be expected to complete exercises and case studies on their own with necessary support and guidance from the instructor.
Some Interesting Articles on Data Science and its applications
Deep Learning Explained: Transforming Business Careers
Deep learning defined for professionals, covering neural network types, industry applications, skill requirements, and practical risks in AI-driven fields.
Why Learn Machine Learning – Career Growth in Dubai
Why learn machine learning for career growth? Discover key concepts, top industry use cases, skill requirements, and risks in finance and healthcare.
Business Analytics Career: Shaping Strategic Decisions
Business analytics career explained—key roles, skills, real-world uses, and growth prospects. Learn paths, qualifications, and Dubai’s industry demand.
Why Analytics in Business Drives Growth and Insight
Why analytics in business is essential for decision-making, operational efficiency, risk management, and staying competitive in modern industries.
Step-by-Step Guide to Business Analytics for Professionals
Master business analytics with this actionable guide to business analytics. Follow simple, step-by-step instructions to enhance decision-making and drive business success.
AI Aptitude Test: Unlocking Career Pathways in Dubai
AI aptitude test explained for Dubai professionals—learn about test types, skills measured, evaluation process, practical uses, and common pitfalls.
What Is Machine Learning and Why It Matters
What is machine learning? Learn core concepts, types, real business uses, risks, and how it drives career growth for professionals in Dubai and beyond.
7 Real-Life Examples of AI in UAE for Professionals
Explore 7 practical examples of AI in UAE across key industries. Learn how AI transforms business, healthcare, and government for career growth.
Why Pursue AI Certification: Career Growth and Value
Why pursue AI certification? Learn about certification types, career impact, business relevance, costs, and risks for professionals and teams in Dubai.
Applied Analytics Step by Step for Business Success
Master applied analytics step by step with this actionable guide. Learn how to prepare, execute, and implement analytics for effective business results.
AI Certification Explained: Key Types, Value, and Impact
AI certification explained for career growth—discover types, industry recognition, training requirements, real-world applications, and common pitfalls.
Master the AI Project Management Process for Business Success
Discover a proven AI project management process. Follow step-by-step guidance to efficiently plan, execute, and validate successful AI initiatives.
Why Transition to Data Science Careers Now
Discover why transitioning to data science can boost your career, including in-demand skills, top real-world applications, and salary potential.
Applied Analytics Learning Pathway for Career Growth
Follow this applied analytics learning pathway for professionals and career switchers. Step-by-step actions guide you toward in-demand analytics skills and certification.
AI Learning Pathways: Roadmap for Career Growth
AI learning pathways for professionals—discover course levels, prerequisites, hands-on skills, and how certifications drive AI career advancement.
7 Essential Statistics Tips for Data Science Success
Discover 7 essential statistics for data science tips designed for career growth. Boost your skills with practical advice for professionals and career switchers.
Role of AI in UAE – Transforming Careers and Business
Role of AI in UAE explored: core concepts, key industries, upskilling needs, real-world impacts, and risks for professionals and companies.
Predictive Analytics: Driving Data-Backed Business Decisions
Predictive analytics explained: definitions, techniques, types, and real-world applications for professionals and businesses in AI and data science.
How to Select Analytics Course for Career Growth
Discover how to select analytics course step by step. Learn to evaluate, compare, and verify analytics courses for skill advancement and career success.





















