# Data Analytics

> Join Edoxi’s 60-hour Data Analytics Course in Riyadh. Learn Python, SQL, Power BI, Excel, and statistics with hands-on projects and get certified. Enrol now.

## Course Details
- Rating: 5/5
- Location: Riyadh
- Category: Software Development
- Sub-Category: Emerging Technology

## Course Introduction
Edoxi’s 60-hour Data Analytics Course in Riyadh equips professionals with the skills to collect, process, analyse, and visualise data. The program covers Python, SQL, Power BI, Advanced Excel, and statistics. It also provides hands-on training through 5 major projects and a comprehensive capstone project. Gain CPD UK-accredited certification and prepare for careers in finance, healthcare, logistics, and e-commerce. Enrol now.

 

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

## 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. Master extracting insights from MySQL databases using window functions.

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

**Statistical Analysis and Hypothesis Testing**
Learn how 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.

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

Edoxi, a leading Data Analytics training institute in Riyadh, offer a 60-hour Data Analytics Course. This course is designed for individuals who wants to master the skills to collect, process, analyse, and interpret data to extract meaningful insights. Throughout the course, you work with real-world datasets from sources like Kaggle and government portals. Practical tasks include cleaning data using Pandas, writing SQL queries, and building dashboards in Power BI and Excel. These exercises develop the analytical skills needed for the Saudi job market. Edoxi’s practical training approach ensures you build confidence in analysing data and presenting actionable insights that support business decisions. 

We offer flexible learning formats, including classroom training, live online sessions, or a blended approach. For corporates, Edoxi provides a 5-day customised Data Analytics Corporate Training, delivered at your office, a hotel, or Edoxi’s training center. Our program is structured to guide beginners toward becoming expert data analysts through a practical, step-by-step learning path.

Upon completion, you earn an internationally recognised CPD UK-accredited Data Analytics Certification, highly valued in Riyadh. By the end of our Data Analytics course, you be prepared for roles such as Data Analyst, BI Specialist, or Analytics Consultant across industries including finance, healthcare, logistics, and e-commerce in Saudi Arabia. To move forward with confidence, reach out to Edoxi for personalised guidance on Data Analytics course fees and the most suitable training format.

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## Key Features of Edoxi's Data Analytics Training

**Real-World Data Practice**
Work with real datasets from Kaggle, government sources, and Maven Analytics so you gain hands-on experience that reflects actual industry work.

**All Study Resources Included**
Learn using our ready-to-use Microsoft guides, practice notebooks, Excel templates, SQL queries, and Power BI files.

**Interactive, Trainer-Led Sessions**
Take part in live coding, data cleaning exercises, SQL writing, and dashboard creation, with guidance, feedback, and peer interaction.

**Learning Path Built Around You**
Progress step by step through modules tailored to your skill level, from data basics to advanced analytics, with clear learning milestones.

**Industry-Standard Tools**
Build strong analytics skills using Python, MySQL, Power BI, Excel, SciPy, and Seaborn—tools employers expect you to know.

**Portfolio-Ready Capstone Project**
Complete an end-to-end analytics project, from data cleaning to insights presentation, so you finish with practical work you can showcase.

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

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

**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**
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**
Design and execute statistical hypothesis testing on marketing data using SciPy and statsmodels to evaluate campaign effectiveness through p-value analysis.

**Healthcare Data Analytics Dashboard**
Clean and transform medical datasets using Power Query, perform exploratory analysis with Python, and create interactive Power BI dashboards.

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

**End-to-End Data Analytics Pipeline**
Complete 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 Riyadh
Edoxi’s  Data Analytics Course with Python, SQL, Power BI & Excel provides a solid foundation for launching a successful career in Riyadh’s fast-growing data analytics sector. By the end of the programme, you

- 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 Saudi 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.
- Build a strong portfolio through hands-on projects and a capstone assignment, showcasing practical expertise to potential employers.

## Career Opportunities After Data Analytics Certification in Riyadh
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 Riyadh
HungerStation, Delivery Hero, Master Works, Bayut KSA, Tamara, Devoteam, Mozn, Ma’aden (Saudi Arabian Mining Co.), The Cigna Group, Capgemini

## Data Analytics Training Options

**Classroom Training**
- 60-hour Data Analytics Course in Riyadh
- 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

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

1. Join Edoxi’s 60-hour Data Analytics Course in Riyadh.
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 Riyadh?
Edoxi offers a Data Analytics course to equip you with the skills needed to excel in today’s data-driven world. Here’s why professionals choose Edoxi


**Hands-On, Real-World Projects**
Engage with our practical projects that reinforce analytical concepts and build problem-solving expertise applicable across multiple business scenarios.

**Build a Portfolio**
Complete five major projects using Python, SQL, Power BI, and Advanced Excel, creating a portfolio that demonstrates your readiness for analytics roles in Riyadh.

**Stepwise & Progressive Learning**
From foundational data concepts to advanced analytics techniques, our structured curriculum ensures a smooth and effective learning journey for beginners and upskillers alike.

**Skills Aligned with Career Growth**
Gain in-demand technical skills combined with business-focused analytical thinking, preparing you to thrive in Riyadh’s fast-evolving data-driven industries.

**Comprehensive Support & Resources**
Access our curated study materials, modern analytics tools, industry best practices, and one-on-one career mentorship to guide you.

**Globally Recognised Certification**
Earn an accredited Data Analytics certification on course completion, validating your skills and enhancing your professional profile in Riyadh’s competitive job market.

## Frequently Asked Questions

**Q: Is the Data Analytics Course at Edoxi suitable for beginners in Riyadh?**
A:  Yes. Edoxi’s Data Analytics Course in Riyadh is designed for learners at all levels, including complete beginners. The programme starts with fundamental data concepts and gradually develops practical skills in Python, SQL, Power BI, and Advanced Excel through structured, hands-on training.

**Q: Are there any prerequisites for joining the Data Analytics Course in Riyadh?**
A: No specific academic or technical background is required. Basic computer literacy and a curiosity for working with data are sufficient, as the course covers analytics concepts from foundational to advanced levels.

**Q: Can working professionals attend the Data Analytics Course in Riyadh?**
A:  Yes. Edoxi offers flexible schedules, including weekday evening batches, weekend sessions, and online sessions to accommodate full-time professionals and students alike.

**Q: What is the average salary for data analysts in Riyadh?**
A: The salary of entry-level data analysts in Riyadh is approximately SAR 5,000–8,000 per month. Mid-level professionals can earn SAR 8,000–12,000, while senior data analysts and specialists earn SAR 12,000–20,000, depending on experience and domain expertise.

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

**Q: What certification is awarded upon completing the Data Analytics Course in Riyadh?**
A: You receive an Edoxi Course Completion Certificate along with a CPD UK-accredited certificate (40 CPD hours) as a Certified Data Analytics Professional, recognised internationally and valued in the Riyadh job market.

**Q: How long is the Edoxi Data Analytics Course in Riyadh?**
A:  Our programme is 60 hours long, spread across classroom, live online, or blended learning formats, allowing you to progress at a comfortable pace while gaining hands-on skills.

**Q: What industries can I work in after completing the course?**
A:  Edoxi equips you for data roles across multiple sectors, including finance, healthcare, logistics, e-commerce, retail, and technology companies in Riyadh and across Saudi Arabia.

**Q: Does Edoxi provide career support after the course?**
A:  Yes. Edoxi offers dedicated career guidance, mentorship, interview preparation, and access to industry contacts to help you secure analytics roles in Riyadh.

**Q: Can I access the training online if I cannot attend in-person sessions?**
A: Edoxi provides flexible online learning with live instructor-led sessions, interactive exercises, and recorded classes, ensuring you don’t miss any hands-on practice.

**Q: Are group discounts or corporate training options available?**
A: Yes. Edoxi offers customised corporate training for teams, including on-site or off-site sessions in Riyadh, team-based projects, assessments, and all logistics handled by Edoxi.

**Q: How does Edoxi ensure practical skill development?**
A: You work with real-world datasets from sources like Kaggle and government portals, performing tasks such as data cleaning, SQL queries, statistical analysis, and dashboard creation to build confidence and competence.

**Q: Which tools and technologies are covered in the course?**
A:  Our course includes Python (Pandas, NumPy, Matplotlib), SQL (MySQL), Power BI, Advanced Excel, SciPy, and Seaborn, equipping you with essential tools for modern analytics roles.

**Q: Are there related courses to further enhance my data skills?**
A:  Yes. Here are the complementary courses to deepen your expertise:

 

- Data Science with Python

- Python Programming for Beginners

- SQL for Data Management

- Power BI Dashboarding

- Advanced Excel for Analysts

 

These courses help you expand your skill set and specialise in high-demand analytics areas.

 

## 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/riyadh/data-analytics-course
- Phone: +971 43801666
- Email: info@edoxi.com