# Data Analytics 

> Join Edoxi’s 60-hour Data Analytics Course in Kuwait. Learn Python, SQL, Power BI, Excel & Statistics, complete projects, and earn accredited certification.

## Course Details
- Rating: 4.9/5 (100 reviews)
- Location: Kuwait City, Kuwait
- Category: Software & Technology
- Sub-Category: Emerging Technology

## Course Introduction
Edoxi’s 60-hour Data Analytics Course in Kuwait equips you with in-demand skills to collect, process, analyse, and visualise data. Master Python, SQL, Power BI, Advanced Excel, and Statistics through 4 major projects and a comprehensive capstone project. Gain practical experience, build data-driven insights, and prepare for careers in finance, healthcare, logistics, and e-commerce. Earn an accredited certification. Enrol now to unlock data analytics job opportunities in Kuwait.

## What Do You Learn from Edoxi's Data Analytics Training

**Python Data Analysis Fundamentals**
Master Pandas, NumPy, and Matplotlib, and build skills in data manipulation, cleaning, and visualisation using Jupyter Notebooks.

**SQL Database Querying Skills**
Learn to write complex queries, joins, and CTEs and to extract insights from MySQL databases using window functions.

**Power BI & Excel Dashboard Creation**
Gain skills in designing interactive dashboards using Power Query and transforming raw data into compelling visual stories for stakeholders.

**Statistical Analysis and Hypothesis Testing**
Learn to apply SciPy for A/B testing and p-value analysis and make data-driven decisions using confidence intervals.

**Data Cleaning and Transformation**
Learn to handle missing values, outliers, and duplicates and master feature engineering and encoding techniques for analysis-ready datasets.

**Real-World Project Implementation**
Participate in e-commerce, healthcare, and finance projects and build a portfolio showcasing end-to-end analytics workflows.

## Key Features of Edoxi's Data Analytics Training

**Real-World Dataset Exercises**
Work hands-on with Kaggle, government, and Maven Analytics datasets across modules to gain practical, real-world data analytics experience.

**Comprehensive Study Resources**
Access Microsoft documentation, guided notebooks, Excel templates, SQL queries, and Power BI files throughout the training journey.

**Interactive Coding Sessions**
Participate in live coding sessions covering data cleaning, SQL query writing, exploratory analysis, and dashboard creation with peer feedback.

**Tailored Learning Path**
Progress through a clearly defined curriculum customised to skill levels, moving from data fundamentals to advanced analytics with measurable milestones.

**Industry-Standard Tool Stack**
Develop end-to-end analytics skills using Python, MySQL, Power BI, Excel, SciPy, and Seaborn.

**End-to-End Capstone Project**
Deliver a complete analytics solution by executing the full data lifecycle, from data preparation to insight presentation, for a portfolio-ready outcome.

## Who Can Join Our Data Analytics Course in Kuwait?

**Fresh Graduates and STEM Professionals**
Recent graduates in commerce, engineering, IT, business management, or related disciplines seeking to launch careers in the Kuwait market.

**Business and Marketing Analysts**
Current analysts and marketing professionals who want to enhance their capabilities with Python, SQL, and Power BI for deeper data insights.

**Finance and Operations Executives**
Professionals in finance, operations, and logistics roles looking to leverage data analytics for forecasting, optimisation, and strategic decision-making.

**IT and Software Engineers**
Technical professionals aiming to expand their skillset into data analytics, combining programming knowledge with business intelligence capabilities.

**Healthcare and Retail Staff**
Industry professionals from healthcare, retail, and e-commerce sectors seeking to analyse operational data for improved efficiency and customer insights.

**Career Transitioners**
Individuals from any background with basic computer skills and logical thinking abilities are ready to transition into high-demand data analytics roles.

## Data Analytics Course Modules

### Module 1: Introduction to Data Analysis

**Chapter 1.1: Fundamentals of Data Analysis**
- Lesson 1.1.1 What is Data Analysis?
- Lesson 1.1.2 Types of Data: Structured vs Unstructured
- Lesson 1.1.3 Importance and Applications in Industry

**Chapter 1.2: Overview of the Data Analysis Lifecycle**
- Lesson 1.2.1 Data Analysis Process Overview (Ask → Prepare → Process → Analyze → Share → Act)
- Lesson 1.2.2 Introduction to Analytical Tools (Excel, Python, SQL, Power BI)

**Chapter 1.3: Setup and Initial Exploration**
- Lesson 1.3.1 Install Tools (Jupyter, Excel, SQL environment)
- Lesson 1.3.2 Explore Datasets (e.g., Iris, Titanic, Sales Data)

### Module 2: Data Collection & Cleaning

**Chapter 2.1: Data Acquisition**
- Lesson 2.1.1 Data Sources: Surveys, Databases, APIs, Web Scraping
- Lesson 2.1.2 Data Formats: CSV, JSON, XLS, TXT, HTML

**Chapter 2.2: Data Cleaning Fundamentals**
- Lesson 2.2.1 Handling Missing Values
- Lesson 2.2.2 Cleaning Techniques: Duplicates, Outliers, Data Type Conversions
- Lesson 2.2.3 String and Date Cleaning
- Lesson 2.2.4 Data Quality Assessment

**Chapter 2.3: Hands-On Data Cleaning**
- Lesson 2.3.1 Use Pandas to Clean a Messy CSV File
- Lesson 2.3.2 Excel: Filters, Conditional Formatting, Data Validation
- Lesson 2.3.3 Power BI: Power Query Editor for ETL Process
- Lesson 2.3.4 Assignment: Clean a Small Dataset and Explain Steps

### Module 3: Exploratory Data Analysis (EDA)

**Chapter 3.1: Descriptive Statistics**
- Lesson 3.1.1 Measures of Central Tendency: Mean, Median, Mode
- Lesson 3.1.2 Measures of Dispersion: Variance, Standard Deviation
- Lesson 3.1.3 Skewness and Kurtosis

**Chapter 3.2: Data Visualisation Techniques**
- Lesson 3.2.1 Histograms, Boxplots, Scatterplots
- Lesson 3.2.2 Heatmaps and Pairplots

**Chapter 3.3: Feature & Correlation Analysis**
- Lesson 3.3.1 Correlation Analysis
- Lesson 3.3.2 Feature Distribution and Summary
- Lesson 3.3.3 Lab: Visualisations with Seaborn/Matplotlib
- Lesson 3.3.4 Assignment: EDA and Mini-Report

### Module 4: Data Wrangling & Transformation

**Chapter 4.1: Data Structuring Techniques**
- Lesson 4.1.1 Merging, Joining, and Concatenation
- Lesson 4.1.2 Reshaping Data: Pivot and Melt

**Chapter 4.2: Feature Engineering**
- Lesson 4.2.1 Creating New Variables
- Lesson 4.2.2 Encoding Categorical Variables
- Lesson 4.2.3 Binning, Normalisation, and Scaling
- Lesson 4.2.4 Lab: Data Preparation with Pandas
- Lesson 4.2.5 Assignment: Clean, Merge, and Encode Data

### Module 5: Data Analysis with SQL

**Chapter 5.1: SQL for Analysts**
- Lesson 5.1.1 Introduction to Databases
- Lesson 5.1.2 Writing SQL Queries
- Lesson 5.1.3 Joins, Subqueries, and CTEs
- Lesson 5.1.4 Aggregation & Grouping
- Lesson 5.1.5 Window Functions and Case Statements
- Lesson 5.1.6 Lab: Querying a Sample Database

### Module 6: Introduction to Statistical Analysis

**Chapter 6.1: Probability and Distribution Basics**
- Lesson 6.1.1 Probability and Common Distributions
- Lesson 6.1.2 Central Tendency and Variability

**Chapter 6.2: Hypothesis Testing**
- Lesson 6.2.1 t-Test, p-Value, and Statistical Significance
- Lesson 6.2.2 Confidence Intervals
- Lesson 6.2.3 Lab: Hypothesis Testing with SciPy
- Lesson 6.2.4 Assignment: A/B Testing Case Study

### Module 7: Data Visualisation & Storytelling

**Chapter 7.1: Visualisation Principles**
- Lesson 7.1.1 Principles of Effective Data Visualisation
- Lesson 7.1.2 Dashboard Design Concepts

**Chapter 7.2: Tools for Visual Communication**
- Lesson 7.2.1 Excel Dashboards
- Lesson 7.2.2 Power BI Dashboards
- Lesson 7.2.3 Plotly, Seaborn, and Matplotlib for Storytelling

### Module 8: Real-World Projects & Case Studies

**Chapter 8.1: Domain-Specific Case Studies**
- Lesson 8.1.1 E-commerce Data Analysis
- Lesson 8.1.2 Healthcare Data Analysis
- Lesson 8.1.3 Finance or Sales Forecasting
- Lesson 8.1.4 A/B Testing for Marketing Campaigns
- Lesson 8.1.5 Customer Segmentation Techniques

### Module 9: Capstone Project

**Chapter 9.1: End-to-End Data Analysis**
- Lesson 9.1.1 Build the Full Pipeline: Clean → EDA → Model → Present
- Lesson 9.1.2 Project Report and Presentation
- Lesson 9.1.3 Peer and Instructor Review

## Hands-On Lab Activities

**E-commerce Customer Segmentation and Sales Analysis**
Learn to analyse customer behaviour patterns using SQL and Pandas to segment audiences, identify purchasing trends, and create actionable insights for marketing strategies.

**A/B Testing for Marketing Campaign Optimisation**
Master the design and execution of statistical hypothesis testing on marketing data using SciPy and statsmodels to evaluate campaign effectiveness through p-value analysis.

**Healthcare Data Analytics Dashboard**
Gain expertise in cleaning and transforming medical datasets using Power Query, performing exploratory analysis with Python, and creating interactive Power BI dashboards.

**Financial Sales Forecasting Model**
Learn to develop predictive analytics solutions using historical sales data, applying statistical methods and visualisation techniques to forecast business trends.

**End-to-End Data Analytics Pipeline**
Master completing a comprehensive data analysis workflow from raw data collection through cleaning, analysis, and presentation, demonstrating mastery of all tools.

## Data Analytics Course Outcome and Career Opportunities in Kuwait
Edoxi’s 60-hour online Data Analytics Course in Kuwait provides a solid foundation for launching a successful career in Kuwait’s fast-growing data analytics sector. Here are the major course outcomes of the data analytics training.  

- Develop in-demand skills in data cleaning, analysis, visualisation, and reporting using tools like Python, SQL, Excel, and Power BI.
- Qualify for roles across key industries such as finance, healthcare, e-commerce, and technology.
- Gain a competitive edge in the Kuwait job market, where data-driven decision-making is increasingly vital.
- Enhance career growth opportunities with certification that validates your analytical expertise.
- Be well-positioned for high-demand roles such as Data Analyst, Business Intelligence Analyst, Reporting Specialist, and more.
- Apply practical, real-world project experience to solve business problems and confidently present insights to stakeholders using dashboards and data-driven reports.

## Career Opportunities After Data Analytics Certification in Kuwait
Data Analyst, Business Intelligence (BI) Analyst, Reporting Analyst, Junior Data Scientist, Operations Analyst, Marketing Data Analyst, Financial Data Analyst, Healthcare Data Analyst, Supply Chain / Logistics Analyst, Product Data Analyst

## Companies Hiring Data Analytics Professionals in Kuwait
SWATX, Jazeera Airways, Zain Kuwait, KDD (Kuwait Danish Dairy), Deloitte, Alghanim Industries, Agthia Group PJSC, American University of Kuwait, Ajar, Pharmazone Kuwait

## How to Get the Data Analytics Certification in Kuwait?
Here’s a four-step guide to becoming a certified Data Analytics professional.

1. Join Edoxi’s 60-hour online Data Analytics Course in Kuwait.
2. Learn from expert trainers through interactive sessions.
3. Complete all course modules and practical project activities.
4. Earn Edoxi’s Data Analytics Course Completion Certificate.

## Why Choose Edoxi for the Data Analytics Course in Kuwait?
Edoxi’s 60-hour online Data Analytics training in Kuwait delivers practical, industry-aligned learning designed to help you build analytics skills for today’s data-driven market. Here are the major reasons to choose Edoxi:


**Hands-On, Project-Based Learning**
Edoxi’s Kuwait data analytics course immerses learners in real-world projects that strengthen core analytical concepts and enhance practical problem-solving skills across business scenarios.

**Industry-Ready Portfolio Development**
The training enables you to build a strong professional portfolio with five major projects using Python, SQL, Power BI, and Advanced Excel, showcasing your readiness for analytics roles.

**Structured & Progressive Curriculum**
The course follows a step-by-step learning approach, starting from data fundamentals and advancing to complex analytics techniques. This approach ensures a smooth learning journey for beginners and experienced professionals.

**Career-Focused Skill Development**
Edoxi equips you with in-demand technical skills and business-oriented analytical thinking required to succeed in Kuwait’s fast-growing, data-driven industries.

**End-to-End Learning & Career Support**
You receive comprehensive guidance through curated study materials, access to modern analytics tools, best practices in version control, and dedicated career mentorship support.

**Internationally Recognised Data Analytics Certification**
On successful course completion, you earn an accredited Data Analytics certification, validating your expertise and strengthening your profile in the Kuwait job market.

## Frequently Asked Questions

**Q: Is the Data Analytics Course at Edoxi suitable for beginners in Kuwait?**
A: Yes. Edoxi’s Data Analytics Course in Kuwait suits learners at all levels, including complete beginners. The training starts with data fundamentals and gradually builds practical skills in Python, SQL, and Power BI through structured, hands-on learning.

**Q: Are there any prerequisites for joining the Data Analytics Course in Kuwait?**
A: No specific academic or technical background is required. Basic computer knowledge and an interest in data analysis are sufficient, as the course covers concepts from the foundation level to advanced analytics techniques.

**Q: Can working professionals attend the Data Analytics Course in Kuwait?**
A: Yes. The Data Analytics Course in Kuwait offers flexible schedules, including weekday evening batches from 7 PM to 9 PM and weekend sessions from 10 AM to 1 PM, making it suitable for full-time professionals.

**Q: What is the average salary for data analysts in Kuwait?**
A: Entry-level data analysts in Kuwait earn approximately KWD 350–600 per month. Mid-level professionals earn around KWD 600–1,000, while senior data analysts and specialists earn between KWD 1,200–2,500, based on experience and expertise.

**Q: Does the Data Analytics Course in Kuwait include hands-on experience?**
A: Yes. Every module includes practical exercises using real-world datasets. Learners complete five major projects and a comprehensive capstone project, gaining experience with Python (Pandas, NumPy, Matplotlib), SQL (MySQL), Advanced Excel, Power BI, SciPy, and Seaborn

**Q: What certification is provided after completing the Data Analytics Course in Kuwait?**
A: Participants receive an Edoxi Course Completion Certificate and a CPD UK certificate with 40 CPD hours as a Certified Data Analytics Professional. 

## Course Overview
- Delivery Modes: Online, Classroom
- Course Duration: 60 Hours
- Corporate Days: 5 Days
- Learners Enrolled: 500+
- Modules: 9

## About This Course
## About Our Data Analytics in Kuwait

Edoxi’s 60-hour Data Analytics course in Kuwait is designed for beginners and professionals aiming to build strong, job-ready data analytics skills. This comprehensive Data Analytics training helps you develop the core competencies required to work as a data analyst in Kuwait’s growing data-driven job market. Participants gain a structured and practical learning experience that supports career entry, career transition, or professional upskilling in the data field.

Edoxi offers flexible training formats, including live online training and customised corporate programs, helping participants apply their skills effectively in professional roles across finance, healthcare, logistics, and e-commerce sectors in Kuwait.

During the Data Analytics course in Kuwait, learners follow a hands-on, practice-oriented training approach. You work with real-world datasets sourced from platforms such as Kaggle and government portals while learning key concepts like data management, Python programming, statistical analysis, and SQL. Practical exercises focus on cleaning and analysing data using Pandas, writing efficient SQL queries, and creating dashboards using Power BI and Excel, ensuring participants build confidence through step-by-step application.

By completing this Data Analytics training in Kuwait, you gain market-relevant analytical skills aligned with current industry expectations. Learners develop the ability to interpret data, generate actionable insights, and present findings through interactive dashboards.

If you’re looking to build practical analytics skills that can open new career opportunities, this course is a great place to start. Enrol now and take your first step into data analytics.

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## Data Analytics Training Options

**Classroom Training**
- 60-Hour Data Analytics Course in Dubai
- Hands-on practice with real datasets
- Direct trainer interaction and feedback
- Dedicated workstations/ laptops for exercises
- Small batch collaborative learning

**Live Online Training**
- 60-Hour Online Data Analytics Course
- Interactive virtual coding sessions
- Screen sharing for demonstrations
- Cloud access to tools/datasets
- Recorded sessions for revision
- Learn at your own pace and convenience

**Corporate Training**
- 5-Day Customised Data Analytics Training
- Curriculum as per your requirements
- Flexible venue: Hotel/Client premises/Edoxi
- Food and refreshments provided
- Visa and travel arrangements
- Team-based business-aligned projects
- Pre and Post-Assessment Reports

## Trainer
- Name: Shahista Tabassum
- Designation: Senior IT Technical Trainer
Shahista Tabassum is an experienced Data Analyst with over 14 years of combined industry and training experience. She has successfully trained more than 2000 students in data analytics, Python programming, and data visualisation. Her career spans hands-on experience in multinational corporations, followed by 10 years of dedicated training, complemented by an M.E. in Web Technologies that strengthens her technical foundation. This dual perspective enables her to deliver real-world context alongside theoretical knowledge in Python programming, data science, statistical analysis, machine learning, and database management.

Shahista's project-based teaching methodology draws directly from her MNC experience, incorporating actual business scenarios and industry challenges into the classroom. Her approach emphasises practical application and data storytelling techniques used in corporate boardrooms, ensuring students learn not just technical skills but also how to communicate insights effectively to stakeholders. Through clear explanations and real-world case studies from her corporate tenure, she guides learners in building portfolio-worthy projects that demonstrate genuine business value, preparing them to contribute immediately in professional settings.

## Enrol in This Course
- Course URL: https://www.edoxi.com/kuwait/data-analytics-course
- Phone: +965 6564 2350
- Email: info@edoxi.com