# Data Analytics

> Join Edoxi’s 60-hour Online Data Analytics Course and build your data analysis skills using Python, SQL, Power BI, Advanced Excel and Statistics. Enrol now!

## Course Details
- Rating: 4.9/5 (46 reviews)
- Category: Software & Technology
- Sub-Category: Emerging Technology

## Course Introduction
Edoxi’s 60-hour Online Data Analytics course aims to develop your skills to collect, process, analyse, and interpret data to generate actionable insights. The course covers top analytics tools like Python, SQL, Power BI, Advanced Excel and Statistics. You will learn data cleaning, statistical analysis, and data visualisation. The training includes 5 major projects plus a comprehensive capstone project. The course prepares you for jobs in finance, healthcare, logistics, and e-commerce sectors. Upon completion, you will receive a CPD UK-accredited Data Analytics Certification that adds value to your resume. Enrol now and gain the skills to explore data-driven career opportunities globally.

## Course Overview
- Delivery Modes: Online
- Course Duration: 60 hours
- Corporate Days: 5 Days
- Learners Enrolled: 500+
- Module: 9

## What You'll Learn from the Online Data Analytics Course?

**Python Data Analysis Fundamentals**
You will master Pandas, NumPy, and Matplotlib. Build skills in data manipulation, cleaning, and visualisation using Jupyter Notebooks.

**SQL Database Querying Skills**
You’ll learn to write complex queries, joins, and CTEs. Extract insights from MySQL databases using window functions.

**Power BI & Excel Dashboard Creation**
You get to design interactive dashboards using Power Query. Transform raw data into compelling visual stories for stakeholders.

**Statistical Analysis and Hypothesis Testing**
You’ll apply SciPy for A/B testing and p-value analysis. Make data-driven decisions using confidence intervals.

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

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

## Who Can Join Our Data Analytics Course?

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

**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
Edoxi’s Online Data Analytics Course with Python, SQL, Power BI, and Excel provides a strong foundation for building a successful career in the rapidly growing international data analytics sector.. By the end of the program, you will:

- 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 international 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.
- Gain a Data Analytics Certification that showcases your capabilities to potential employers.

## Career Opportunities After the Online Data Analytics Course
Data Analyst, Data Entry & Reporting Analyst, Business Data Analyst, Quantitative Research Analyst, Product Analytics Associate, KYC Data Analyst, Business Intelligence (BI) Analyst, Marketing/CRM Data Analyst, Operations Data Analyst, Data Engineer, Quantitative Analyst

## Data Analytics Training Options

**Classroom 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 Data Analytics Certified?
Here’s a four-step guide to becoming a certified Data Analytics professional.

1. Enrol in Edoxi’s Online Data Analytics Course
2. Attend the training led by experts
3. Complete the projects and assessments
4. Get your CPD-UK-accredited Data Analytics Certification

## Why Choose Edoxi for Data Analytics Training?
Here are a few reasons why you should choose Edoxi for the Data Analytics Course ;


**Hands-On, Project-Based Learning**
Immerse yourself in real-world data analytics through practical projects that reinforce core concepts and build problem-solving skills.

**Industry-Ready Portfolio Development**
Create an impressive portfolio featuring five major projects using leading tools such as Python, SQL, Power BI, and Advanced Excel, demonstrating your readiness for the job market.

**Structured, Progressive Curriculum**
Start with the fundamentals and advance step-by-step into complex analytics techniques, ensuring a smooth and confident learning journey for beginners and experienced learners alike.

**Career-Focused Skill Building**
Gain the technical expertise and business acumen required to thrive in today’s fast-growing, data-driven industries.

**End-to-End Learning Support**
Benefit from comprehensive guidance, including access to up-to-date tools, curated study resources, version control practices, and career mentorship.

**Gain a Data Analytics Certification**
Upon successful completion of the course, you will receive a CPD-UK-accredited course certification. This validates your skills to potential employers.

## Frequently Asked Questions

**Q: Is this Data Analytics online course suitable for beginners?**
A: Yes, Edoxi’s Data Analytics course is designed for learners at all levels, including complete beginners. We start with fundamental concepts and progressively build your skills in Python, SQL, and Power BI through hands-on practice.

**Q: Are there any prerequisites for joining the Data Analytics online course?**
A: No specific background is required. Basic computer literacy and interest in working with data are sufficient, as we provide comprehensive support from foundational concepts through advanced techniques.

**Q: What is the average salary for data analysts?**
A: The average salary for data analysts ranges from $55,000 to $120,000 per year, depending on experience and location. However, salaries tend to be higher in industries like tech, finance, and healthcare, and in metropolitan cities. 

**Q: Will I get hands-on experience during the Data Analytics Course Online?**
A: Every module incorporates practical exercises using real-world datasets. You'll complete five major projects plus a comprehensive capstone project showcasing your complete analytics workflow. Additionally, you'll master tools like Python (Pandas, NumPy, Matplotlib), SQL (MySQL), Advanced Excel, Power BI, SciPy, and Seaborn - the complete toolkit demanded by employers' data analytics market.

**Q: What certification will I receive upon completion of the Online Data Analytics Course?**
A: You'll earn the Edoxi Course Completion Certificate, CPD UK certificate with 40 CPD hours as a Certified Data Analytics Professional, and optionally, you can receive a course completion certification from Edoxi.

## About This Course
## About Our Online Data Analytics Course 

Edoxi’s 60-hour Online Data Analytics Course aims to equip you with skills to collect, process, analyse, and interpret data to extract meaningful insights. This course is designed to help beginners become expert data analysts through a structured and practical learning path. Whether you are starting fresh or looking to upskill, our Data Analytics course provides the knowledge and tools you need to succeed in the data field.

Our online Data Analyst Course covers essential topics, including data management, Python programming, statistical analysis, and dashboard creation. The course will begin with basic data concepts and gradually move on to more advanced analytics. The training includes a hands-on approach, ensuring that you gain real-world experience while learning each concept step-by-step.

Edoxi’s live online data analytics course includes expert instruction, interactive learning, and access to industry-standard tools. For Corporates, Edoxi offers a 5-day customised Data Analytics Training. It can be delivered at your office, at a hotel, or at Edoxi’s training centre. The corporate training includes team-based projects, assessments, and all travel and refreshment arrangements.

Throughout the Online Data Analytics course, you will also 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 activities help you develop the data analysis skills needed for the international job market.

During the Online Data Analytics course, you will complete a capstone project, which will be part of your analytics portfolio. This enables you to demonstrate end-to-end data workflows from collection to presentation. Our practical training approach ensures Edoxians build confidence in analysing data and presenting clear, actionable insights to support business decisions. Upon course completion, you’ll gain a CPD UK-accredited Data Analytics Certification, highly valuable in today’s job market. 

This certification is ideal for beginners and career switchers aiming for entry-level data analytics roles. By the end of the Data Analytics course, you will be ready to work as a data analyst, BI specialist, or analytics consultant in different industries such as finance, healthcare, logistics, and e-commerce.

Enrol now and gain the skills and confidence to explore data-driven career opportunities globally.

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## Features of the Online Data Analytics Course

**Real-World Dataset Exercises**
Practice with Kaggle, government, and Maven Analytics datasets across all modules for authentic industry experience.

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

**Interactive Coding Sessions**
Engage in live coding, data cleaning drills, SQL writing, and dashboard building with peer reviews.

**Tailored Learning Path**
Progress through modules customised to your skill level, from data fundamentals to advanced analytics with clear milestones.

**Industry-Standard Tool Stack**
Master Python, MySQL, Power BI, Excel, SciPy, and Seaborn for complete analytics capabilities.

**End-to-End Capstone Project**
Complete full data pipeline from cleaning to presentation, building portfolio-ready analytics solutions.

## Trainer
- Name: Nahid S
- Designation: Data Science Trainer
Nahid S. is an experienced educator with 8+ years of expertise in academia, training, and software development. Skilled in curriculum design, interactive training, and mentorship, she has equipped learners with hands-on skills in data analytics, data science, cloud computing, and software engineering. Nahid is an AWS Academy Accredited Educator, AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals, and Google Certified Educator (Level 1). She brings a strong technical foundation and industry credibility to the classroom, blending theoretical knowledge with practical applications.

Nahid has delivered engaging lectures and practical sessions across core and elective subjects, including Cloud Computing, Python, Machine Learning, and Data Science. Nahid has designed and implemented industry-relevant training programs that boost employability. With a strong focus on student development, she has provided mentorship in projects, internships, and career planning while organising workshops, seminars, and guest lectures to bridge the gap between academia and industry.

## Enrol in This Course
- Course URL: https://www.edoxi.com/data-analytics-training
- Phone: +971 43801666
- Email: info@edoxi.com