Data Science for Managers Course

Master data science for smarter decisions

Learn key techniques for business data analysis

Tailored for UAE business needs

Blend of theory, case studies, and hands-on practice

35-hour training

Flexible learning options

Easy & convenient payment options

Overview

What our training includes

Essential data science skills for decision-making
Master data prep, stats and machine learning
Hands-on and theoretical learning
Apply data science to UAE businesses
High need for certified professionals
Advances in data science rapidly
Data-driven strategies for business success

Learning Objectives

After finishing the course, you will be able to:

Understand different data science techniques and their applications in business

Access advanced data science tools to handle data analytics

Conduct and interpret basic data science activities

Gain knowledge of Business Analytics and Statistics

Create decision modeling with Excel

Ready to get started?

Prerequisites

The eligibility requirements for this course are as follows:

A Bachelor's degree in business, computer science, statistics, or another comparable discipline
Basic understanding of probability and statistics, including terms like mean, standard deviation and correlation
Knowledge of at least one programming language, such as Python or R, and competence with fundamental programming concepts
Basic understanding of database management and SQL

Overall ratings by our students

Upcoming sessions

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

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Curriculum

A Bachelor's degree in business, computer science, statistics, or another comparable discipline
Basic understanding of probability and statistics, including terms like mean, standard deviation, and correlation
Knowledge of at least one programming language, such as Python or R, and competence with fundamental programming concepts
Basic understanding of database management and SQL

Data Science Introduction
Data Science Evolution
Business Applications
Benefits of Data Science
Challenges of Data Science

Data Science Context : Data Mining / Business Intelligence / Data Science
Perspective of Data Science
Data Science Classification
Various Types Of Data Science

Popular Tools for Data Science
Data Sources
Data Reliability and Validity

Data Science Steps
Recognize the Problem
Define a Problem
Structure the Problem
Analyze the Problem
Interpret the Results
Implement Solution
Crisp-Dm Reference Model

Overview of Statistics
Descriptive Statistics
Inferential Statistics
Basics Terminologies
Cochran's Min Size Formula
Types of Data
Examples of Various Data
Cochran’s Formula Example
Examples of Variables

Harnessing Data Introduction
Making Sense of the Data
Sampling Methods
Simple Random Sampling
Stratified Sampling
Systematic Sampling
Biased Sampling Methods

Exploratory Data Analysis
Measures of Central Tendencies
Mean
Median
Mode
Measures of Variability
Range
Calculating Standard Deviation

Z- Score / Z-Value/ Standard Score
Calculating Z-Score
Histogram
Empirical Rule
Outliers

Normal Distributions, Mean, Variance
Normality Testing
Skewness
Kurtosis
Correlation

Mathematical Modeling
Decision Modeling
Break-Even Decision Model
Prescriptive Model Pricing

Sales Promotion Decision
Sales Prediction With Multiple Regression Analysis

Kerc Inc – Car Manufacturer Case Study
Kerc Inc Case Modeling
Optimizing Kerc Production Model

Wonderzon Case Study: Problem Statement
Wonderzon Case Modeling
Predicting Optimum Logistics Cos

Predictive Analytics Introduction
Types of Predictive Analytics
Application of Predictive Analytics

Mathematical Modeling Regression
Simple Learning Regression
Predicting Profit with Regression

Multiple Regression Modeling
Predictive Analytics Summary

Monte Carlo Simulation Introduction
Smart It Inc. Internet Plan : Problem Statement
Model Building
Optimization and Plan Decision

Kickathlon – Supplier Decision Making
Decision Tree Convention
Kickathlon – Supplier Decision Tree

Decision Tree Convention
Common Decision Strategies
Maxi-Min Strategy
Maxi-Max Strategy
Maximize Expected Value Strategy
Decision Trees with Monte Carlo Simulation Uncertain Output Range
Decision Tree Summary

Tableau Introduction
Connecting to Various Data Sources
Fixing Data Issues while Importing

Tableau Panes
Creating Basic Visualizations
Insights for Data Through Visualizations
Exploratory Data Analysis

Stacked Bar Graph
Deriving Insights Through Compound Plots

Forecasting Sales
Adjusting Forecasting Parameters

Various Filters Options
Interactive Filters
Building Effective Dashboards

Various Publishing Options
Tableau Packaged Workbook
Summary

Frequently asked questions

The demand for Data Science and Data Analytics is growing rapidly. With everything being digitized, a career in Data Analytics can be very appealing for aspiring professionals as it is a fast-growing industry with skilled workers in demand. This profession can also promise attractive salaries for professionals and provide lots of room for career advancement.

The potential for quantum computing and data science is huge in the future. With organizations increasingly recognizing the importance of data and the immediacy to analyze this data and generate ROI, the demand for data science professionals is high as well as Data Science courses in Dubai. Many professionals are taking up Data Science training in Dubai to acquire significant knowledge and skills to master in this domain and stand out in today’s competitive world.

The Data Science for Managers course is designed perfectly to align with the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

No. Coding knowledge is not required to learn Data Science for Manager course.

The World Economic Forum's Future of Work Report 2020 predicts that by 2025, the job with the highest demand and growth will be that of a Data Scientist. The Data Scientist job role is considered the 3rd highest paid job in UAE. Thus becoming a Data Science Manager will surely increase one’s salary.

Data Scientists are in great demand and listed as the 3rd highest-paid job in the UAE. The Head of Data Science and Data Science Managers have the highest salaries, starting from AED 50,000 and going up to AED 70,000 per month in the UAE.