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Data Analytics

Data Analytics

Data Analytics

Categories: Analytics
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About Course

Overview Of Data Analytics Training in Dubai

In today’s increasingly data-driven economy, businesses rely heavily on data analytics to make better decisions for the growth of their organisation. Data analytics involves the collection, transformation, and organization of factual information for the purpose of making predictions, drawing conclusions, and making informed decision-making. In order to make decisions about products, services, or business strategies, companies require the expertise of data analysts to sift through the data.

EACH ONE TEACH ONE (E1T1) Training Institute in Dubai is renowned for providing top-notch IT courses in Dubai. Our industry-led experts will equip you with key analytical skills such as data cleaning, analysis, & visualization. You will also get to learn about data analytics tools such as spreadsheets, SQL, R programming, and Tableau. Edoxi’s Data Analytics Course provides learners with the skills needed to succeed in the field or start a new career in the IT sector

Data Analytics Courses in Dubai

Data Analytics is a key feature for the majority of businesses as it helps in increasing their productivity and reducing costs. This use of Data analytics in businesses has created a rise in job opportunities. Here are the top Data Analytics Courses in Dubai.

Data Analytics Courses in Dubai Corporate Days Duration Certification Body Modes of Training
Data Analytics Using MS Power BI 2 Days 14 hours E1T1 & KHDA Classroom/Online
Data Analytics Using Tableau 2 Days 14 hours E1T1 & KHDA Classroom/Online
Data Analytics with MS Excel 2 Days 14 hours E1T1 & KHDA Classroom/Online
Data Analytics using AlterYX 2 Days 14 hours E1T1 & KHDA Classroom/Online
Data Analytics Using Python 2 Days 14 hours E1T1 & KHDA Classroom/Online
Data Analytics using R Programming 2 Days 14 hours E1T1  & KHDA Classroom/Online

Data Analytics Course Highlights

  • You will undergo 35 hours of formal training before taking up the Data Analytics certification exam.
  • Our Training aligns with the latest Data Analytics Content Outline.
  • Our Data Analytics Authorised instructors will guide you through the session
  • You can choose between weekend or weekday classes, which is more convenient for you. 
  • Gain insights into how to apply data analytics principles in businesses and keep up with the latest trend in the industry.
  • Learn to use data analytic tools such as Power BI, Tableau, and more.

Data Analytics Course Features: 

  • 35+ Hours of Online Training: We offer a comprehensive training program ensuring that participants gain a thorough understanding of data analytics concepts, techniques, and tools. 
  • Curriculum Designed by Experts: Our curriculum is carefully curated by industry experts covering all the essential topics and skills needed for data analytics professionals.
  • Interactive Learning Through Classroom/Online: Interactive learning experiences through both classroom/online platforms cater to diverse learning preferences and accommodate individual schedules.
  • Experienced Instructors: Our instructors bring real-world insights and practical knowledge to the classroom, providing valuable guidance and mentorship throughout the course.
  • Hands-On Project-Based Learning:We will get the learners involved in industry-relevant projects so that they are better taught and learned through an experiential approach.
  • Industry-Recognised Certification: Edoxi offers you an industry-recognised training certificate at the end of the successful completion of your data analytics training in Dubai.
  • Flexible Learning Solution:We offer classroom/online learning options to accommodate diverse schedules and learning preferences. Choose the mode that suits you best.
  • Networking Opportunities:Connect with fellow learners and professionals in the field of data analytics through our collaborative platforms and discussion forums.

Industries Looking for Data Analytics Professionals

  • Software/IT
  • Media & Entertainment.
  • Healthcare.
  • Retail.
  • Telecommunications.
  • Automotive.
  • Digital Marketing.
  • Professional Services.

Data Analytics Course Prerequisites

Candidates who have a minimum qualification of 12th grade, most preferably computer science or science, along with a keen interest in data analysis and techniques, can pursue the Data Analytics Certification course.

Data Analytics Course Module

  • Module 1: Python Fundamentals
  • Introduction to Python and its applications.
  • Setting up the Python development environment.
  • Basic syntax and data types in Python.
  • Control flow and conditional statements.
  • Looping structures and iterations.
  • Functions and modules.
  • File input/output operations.
  • Exception handling and error management.
  • Module 2: Python Advanced Concepts
  • Object-oriented programming (OOP) in Python.
  • Classes, objects, and inheritance.
  • Working with libraries and modules (e.g., NumPy, Pandas, Matplotlib).
  • Dataframe basics.
  • Reading data from CSV/excel files.
  • Data cleaning and filtering.
  • Handling missing data.
  • Group by, Concat, Merge.
  • Data manipulation and analysis using Python libraries.
  • Introduction to data visualization with Python.
  • Matplotlib, Seaborn and Plotly.
  • Module 3: MySQL Database Management
  • Introduction to relational databases and MySQL.
  • Installing and setting up the MySQL server.
  • Statement Fundamentals.
  • Creating databases and tables.
  • Data types, constraints, and indexes.
  • SQL queries: SELECT, INSERT, UPDATE, DELETE.
  • Joins, sub-queries, and aggregations.
  • CTE and Windows functions.
  • Stored procedures.
  • Module 4: Power BI
  • Introduction to Power BI and its features.
  • Importing data into Power BI.
  • Data transformation and shaping using Power Query.
  • Data modelling and relationships.
  • Creating calculated columns and measures.
  • Designing interactive reports and dashboards.
  • Adding visuals and customizing their properties.
  • Sharing and publishing reports on Power BI.
  • Module 5: Statistics for Data Science
  • Introduction to statistical concepts and terminologies.
  • Descriptive statistics: measures of central tendency and variability.
  • Probability distributions: discrete and continuous distributions.
  • Hypothesis testing and statistical significance.
  • Correlation and regression analysis.
  • Introduction to ANOVA (Analysis of Variance).
  • Module 6: Data Science
  • Understanding the data science workflow.
  • Data acquisition and data cleaning techniques.
  • Exploratory data analysis (EDA) and data visualization.
  • Supervised and unsupervised machine learning algorithms.
  • Model evaluation and performance metrics.
  • Introduction to natural language processing (NLP).
  • Introduction to deep learning and neural networks.

How to Get Data Analytics Certified?

  • Get Professional Training
  • Apply For Data Analytics Certification Exam
  • Do The Preparation 
  • Become A Certified Data Analyst

Data Analytics Training Options

Edoxi offers various professional courses that will enhance your career prospect. Choose the best training options to suit your needs.

Training Options Features
Classroom Training
  • Instructor-led Classes
  • Case Study Presentation
  • Lecture-Based Presentation
  • Video and Audio Inserts
  • Simulated Exams and Exam Practice
Customized Corporate Training
  • Customized learning (digital/ instructor-led)
  • Flexible pricing options
  • Enterprise dashboards for individuals and teams
  • Learners assistance and after-support
Live Virtual Training
  • 8+ Contact Hour classes
  • Authorized Instructor-led Classes
  • Weekend/Weekday Classes
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What Will You Learn?

  • Build 20 Frontend Projects From Scratch
  • No JS or CSS Frameworks
  • Modern JavaScript (ES6+) - Arrows, Fetch, Promises, etc
  • DOM Manipulation & Events
  • Animations With CSS & JavaScript
  • Fetch & JSON With 3rd Party API's
  • HTML5 Canvas, Speech API, Audio & Video
  • Beginner Friendly

Requirements

  • Basic knowledge in HTML, CSS & JavaScript

Course Content

Introduction

  • Lesson

Section 1

A course by

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  • Price
    Free
  • Course Level Intermediate
  • Duration
    5 hours 20 minutes
  • Total Enrolled 1
  • Lessons 2
  • Last Update September 28, 2023
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