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Data Analyst

★★★★★ 4.45/5

Career Path program

In the ever-evolving landscape of the digital era, data has become the lifeblood of organisations across industries. As a Data Analyst, you will harness the power of cutting-edge technologies and methodologies to unlock the hidden potential. This course will equip you with the skills to navigate the latest industry trends, including big data analytics, machine learning, and data visualisation.
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New Session Starting:
1st of Dec 2023.

Program Duration:
6 months. 4-8 hrs/week.

Learning Format:
On-site Classes.

Course Overview

This course is designed to provide students with a comprehensive understanding of data analysis and the necessary skills required to handle data effectively. After enrolling in this Data Analyst course, you will become an expert in data analytics. You’ll get to know the latest analytics tools and techniques, SQL database administration, R and Python programming, the art of data visualisation, and how to use statistics and predictive analytics in an organisation. And so much more, so join now!

Key Elements:

  • In-depth coverage of Data Analysis: Concepts and Principles.
  • Practical exercises and real-world examples.
  • Comprehensive learning resources, including tutorials, case studies, and reference materials.
  • Hands-on experience with the latest technologies.
  • Guidance from experienced instructors and industry experts.
  • Interactive discussions and peer collaboration.
  • 6 modules and 1 final project.

Relevant Courses

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Advanced Deep Learning: Harnessing the Potential of TensorFlow.

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Learning Path

This module includes training in Business Analytics, you can advance your career in data analytics by gaining strong new Microsoft® Excel abilities. You will learn about some key features of Excel which helps in efficient data handling.
You will learn everything you need to know in this module to properly begin working with SQL databases and utilise the database in your applications. To manage your SQL database for scalable expansion, learn the basics of SQL statements, conditional statements, commands, joins, subqueries, and other functions.
Basics of Programming and Data Analytics using Python In this module, you will learn how to use NumPy’s multi-dimensional arrays for Data Analytics, Pandas’ DataFrame manipulation, the SciPy library of mathematical functions, and Scikit-Learn’s machine-learning capabilities. You will learn the fundamentals of Python in this module before studying a wide range of data kinds. You’ll discover how to prepare data for analysis, run straightforward statistical calculations, make insightful data visualisations, forecast future trends from data, and more.
With the help of this module, you will learn R programming to use R data structures, write R code, and construct your own functions.

R is the most desired open-source technology, therefore learning it is the next step to becoming a data analyst. The strong analytics and data science language R has a high learning curve and a thriving community. Because of this, it is fast replacing other technologies as the preferred option for businesses utilising analytics to gain a competitive edge.

This Tableau module will help you in mastering the widely used data visualisation, reporting, and business intelligence application known as Tableau Desktop. With the help of our Tableau training, you can grow your analytics career and acquire employable skills. For data-related employment, Tableau certification is highly respected by employers. It teaches you how to use the programme efficiently for data preparation, interactive dashboard creation, the addition of new dimensions, and in-depth analysis of outliers.

Learning Path

Introduction to Full-Stack Development - MERN Stack

Getting started with full-stack development with the introduction of the course, and exploring course modules in detail.

Develop interactive Front-End with React

Learn all the basic and advanced concepts of front-end development including the major front-end development platforms like HTML, CSS, Javascript, and React.js Frameworks.

Fully functional Back-End with RESTFul and MongoDB

Learn all the basic and advanced concepts of back-end development including the major back-end development platforms like Node.js, Databases, RESTFul API and MongoDB.

Full-Stack Development - Merging Front-End and Back-End

Now, you will move towards the integration of the front-end and back-end and scaling them to make your website interactive and user-friendly.

Final Project - Analysis of Customer Behavior in E-commerce Using Python and Tableau

The objective of this project is to analyse customer behavior in an e-commerce dataset using Python for data analysis and Tableau for visualisation. The project aims to gain insights into customer preferences, purchase patterns, and identify opportunities for improving the e-commerce platform.In this project, you will work with a dataset containing customer information, purchase history, and website interactions from an e-commerce platform.

Data Analyst Certification Advantages

To distinguish your profile as a Data Analyst, this thorough curriculum covers more than 8 software development tools and technologies.

With this programme, you will:

  • Learn fundamental concepts of data and business analytics from recognised experts in the field, with information relevant to the industry.
  • Implement the concepts of data analysis in an e-commerce application using Python and Tableau.
  • Earn a course completion diploma that is recognised by the industry.

Skills Covered

  • Data analysis
    techniques.
  • Proficiency
    in Excel.
  • SQL database management.
  • Programming fundamentals.
  • Data
    visualisation.
  • Machine learning
    basics.
  • Data
    wrangling.
  • Statistical
    analysis.
  • Data
    storytelling.
  • Project
    management.
  • Data ethics and
    privacy.
  • Critical thinking and problem-solving.

Tools Covered

Industry Trends

Within the projection period of 2021 to 2028, the global market for cloud architecture is expected to witness remarkable growth, reaching a size of approximately USD $104.6 billion.

Data analyst

Industry Growth

25% Annual Growth

For Data Analyst Jobs from 2020 to 2030

0.6 Million New Jobs

For the field of Data analyst jobs, there is a promising outlook from 2020 to 2030

Data analyst

Annual Salary
Minimum
£53,695
Average
£70,052
Maximum
£103,635

Our Requirements

The Data Analyst course is suitable for candidates who possess a strong analytical mindset, including graduates, professionals with a curiosity for data analysis, business professionals seeking data skills, IT professionals transitioning into data analysis, and career switchers looking to leverage their transferable skills in the data-driven job market.
  1. Proficiency in Microsoft Excel.
  2. Mathematics and statistics foundation.
  3. Familiarity with databases.
  4. Analytical thinking skills.
  5. Programming basics.

Suitable Candidates

The Data Analyst course is suitable for candidates who possess a strong analytical mindset, including graduates, professionals with a curiosity for data analysis, business professionals seeking data skills, IT professionals transitioning into data analysis, and career switchers looking to leverage their transferable skills in the data-driven job market.

Pre-requisites

1) Proficiency in Microsoft Excel.
2) Mathematics and statistics foundation.
3) Familiarity with databases.
4) Analytical thinking skills.
5) Programming basics.

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