Table of contents

Data Analyst Course Syllabus

Fundamentals

Specialization

Frequently Asked Questions Final thoughts

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Data Analyst Course Syllabus: The Learning Path

27 May 2023

4min read

As the world becomes increasingly data-driven, the demand for skilled Data Analysts continues to grow. According to a report by the McKinsey Global Institute, the demand for workers with advanced digital skills, such as data analysis, is expected to grow by 55% between 2016 and 2030.‍

If you're interested in pursuing a career in this exciting field, enrolling in a Data Analyst Course can be a great way to get started. However, not all Data Analyst Courses are created equal, and it's important to carefully review the Data Analyst Course syllabus before making a decision.‍

NxtWave's Data Analyst Course Syllabus is designed by industry experts with a focus on practical experience. You will work on real-time projects to build an impressive portfolio.

Data Analyst Course Syllabus

Fundamentals

Static Website Design

1. Software Development Fundamentals

Importance of Frontend
Fundamentals

Syntax
Debugging
Tweaking Code

2. HTML Basics

HTML Elements
HTML Headings
HTML Paragraphs
HTML Button
HTML Attributes
HTML Images
HTML Hyperlinks
HTML Containers
HTML Lists

3. CSS Basics

CSS Rulesets
CSS Properties
CSS Colors
CSS Units
CSS Box Model
CSS Margins
CSS Paddings
CSS Borders

4. Bootstrap Components

Carousel
Embedding Videos

Course Project

Build Tourism Website by using HTML5, CSS3, and Bootstrap.

Responsive Website Design

1. Intermediate CSS

Block vs inline elements
CSS Selectors

Class Selector
Id Selector
Type Selector
CSS Specificity
CSS Inheritance
CSS Cascading

Course Project

Build a Responsive Food Munch Website by using HTML5, CSS3, and Bootstrap.

2. Bootstrap

Bootstrap Grid System

Container
Row
Column

Bootstrap utilities

Display utilities
Flex utilities
Sizing utilities
Spacing utilities

Navbar
Buttons
Colors

Course Project

Build a Responsive eCommerce Website by using HTML5, CSS3, and Bootstrap.

Programming Foundations with Python

1. Fundamentals of Programming

Operators, Datatypes & Variables
Strings & Numbers
Conditional Statements
Loops
String Methods
Functions

Introduction to Databases

1. Relational Databases

Introduction
SQL
Aggregation, Relationships, Join
Querying
ACID Properties

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Data Analytics Specialisation

Introduction to Data Analytics

Overview of Data Analytics
Opportunities and Career Paths in Data Analytics
Roles and Responsibilities of a Data Analyst
Data Analytics Case Studies

Data Visualization

Fundamentals of Data Visualization
Introduction to Power BI
Data Visualization using Power BI

Advanced-Data Visualization

Slicers and Filters in Power BI
Interactive Visualisations in Power BI
Creating Paginated Reports
Creating Dashboards in Power BI

Data Cleaning & Transformation using Excel / Power Query

Data Cleaning Techniques
Data Transformation Techniques
Introduction to Power Query
Data Types and Filters in Power Query
Inbuilt Column and Row Transformations
Creating a Query in Power Query
Combining Two Data Sets

Data Modelling & DAX

Introduction and Techniques to Data Modelling
Creating Measures in DAX
DAX Functions

Publishing Your Dashboards

Introduction to Power BI Service
Collaboration using Power BI
Creating Dashboards using Power BI Cloud/Service
Publishing Your Dashboard

Data Analysis using Python Libraries

Introduction to NumPy and Pandas
Indexing and Slicing NumPy arrays
Indexing and Filtering Pandas data frames and series
Modifying Pandas data frames and Series

Data Analytics using Tableau

Fundamentals of Tableau
Essential Design Principles for Visualization with Tableau
Creating Dashboards and Interactive Reports in Tableau

Capstone Project

Building Captivating dashboards from different datasets across E-Commerce, Fintech, Health Tech, etc.

Frequently Asked Questions

Does Data Analyst require coding?

Yes, data analysis requires coding skills. However, it is not mandatory to have coding skills for all data analyst roles, some may focus more on data visualization, reporting, or interpreting data. Having coding skills will certainly be an advantage in the job market and can help data analysts to be more efficient and effective in their work.

How long does it take to complete a Data Analyst Course?

The duration of a Data Analyst Course can vary depending on the program and the level of instruction.

This Data Analyst Course by NxtWave is beginner friendly and takes 5 months to complete. Even a fresher can understand the technical concepts easily and create interactive dashboards from the datasets.

What is the cost of a Data Analyst Course?

The cost of NxtWave's Data Analyst Course is ₹45,000/-

It includes -

Fundamentals and Data Analytics Training
Fast doubt clarification from 9 AM - 9 PM Everyday
24/7 Online Labs to practise coding
10+ Real-time projects to build
Placement Support to make you job-ready

What is the difference between a Data Analyst and a Data Scientist?

A Data Analyst focuses on examining and interpreting data to identify trends and insights that can inform business decisions. While a Data Scientist is responsible for developing and testing hypotheses, building predictive models, and using machine learning algorithms to analyse complex data sets.

Final thoughts

In this data-driven world, the demand for skilled data analysts is on the rise. If you aspire to become one, it is essential to equip yourself with the right knowledge and skills.

The first step to embark on this journey is to pursue a comprehensive data analytics course which provides a strong foundation of knowledge at the outset and also includes hands-on experience through real-world projects.

NxtWave intensive 2.0 program has proven to be successful in guiding students and securing their dream job. More than 1500+ companies have hired our learners.

Don't believe our words, check out their success stories yourself.