Data Analyst Course Syllabus: The Learning Path

Introduction

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.

What is Data Analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves examining data sets to identify patterns, trends, relationships, and insights that can inform business strategies, scientific research, or any field that relies on data-driven decision-making.

What Does a Data Analyst Do?

A data analyst is a professional who collects, processes and analyzes data to help organizations make informed decisions. Their role involves working with large amounts of data to identify trends, patterns, and insights that can improve business operations, strategies, and performance. Data analysts use various tools, techniques, and statistical methods to extract meaningful information from raw data.

Data Analyst Course Syllabus

Fundamentals

Static Website Design

1. Software Development Fundamentals

2. HTML Basics

3. CSS Basics

4. Bootstrap Components

Course Project: Build Tourism Website by using HTML5, CSS3, and Bootstrap.

Responsive Website Design

1. Intermediate CSS

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

2. Bootstrap

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

Programming Foundations with Python

1. Fundamentals of Programming

Introduction to Databases

1. Relational Databases

Data Analytics Specialisation

Introduction to Data Analytics

Data Visualization

Advanced Data Visualization

Data Cleaning & Transformation using Excel / Power Query

Data Modelling & DAX

Publishing Your Dashboards

Data Analysis using Python Libraries

Data Analytics using Tableau

Capstone Project

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

Course Details

Duration

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.

Course Fee

The cost of NxtWave's Data Analyst Course is ₹55,000/-

Course Includes:

Course Outcomes

More than 1700+ companies have hired NxtWave learners.

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 ₹55,000/-

It includes:

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.

What are the key topics covered in the data analyst course syllabus for 2024?

The key topics covered in the data analyst course syllabus for 2024 include:

How to become a Data Analyst?

To become a Data Analyst, you need to build a solid foundation in various technical, analytical, and problem-solving skills. Below is a step-by-step guide based on typical course syllabi, which can help you structure your learning and career path.

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 3.0 program has proven to be successful in guiding students and securing their dream job. More than 1700+ companies have hired our learners.

Contact Information

NxtWave

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