Data analytics is one of the fastest-growing career fields in 2026. Every company from startups to MNCs, relies on data to make smarter business decisions. If you are a fresher wondering how to enter this field without a technical background, the good news is: you can become a Data Analyst in just 6 months with the right roadmap and consistent practice.

This step-by-step guide will help you understand what to learn, how to practice, and how to prepare for jobs.

Who is a Data Analyst?

A Data Analyst collects, cleans, and analyzes data to help businesses make informed decisions. They work with tools like Excel, SQL, Python, and visualization platforms to convert raw data into meaningful insights.

Companies hire data analysts in industries such as:

• E-commerce
• Banking & Finance
• Healthcare
• Marketing
• IT Services

6-Month Data Analyst Roadmap for Freshers

Month 1: Learn Excel & Basic Statistics

Start with the fundamentals.

What to Learn:

• Advanced Excel (VLOOKUP/XLOOKUP, Pivot Tables, Charts)
• Data Cleaning Techniques
• Basic Statistics (Mean, Median, Mode, Standard Deviation)
• Probability Basics

Why This Matters:

Excel is still widely used in companies for reporting and analysis. Statistics helps you understand patterns and trends in data.

Month 2: Master SQL

SQL is one of the most important skills for data analysts.

What to Learn:

• SELECT, WHERE, GROUP BY, ORDER BY
• JOINS (INNER, LEFT, RIGHT)
• Subqueries
• Aggregate Functions

Practice Tip:

Use platforms like MySQL or PostgreSQL and practice real-world queries.

Month 3: Learn Python for Data Analysis

Python is a powerful programming language used in data analytics.

What to Learn:

• Python Basics
• Libraries: Pandas, NumPy, Matplotlib
• Data Cleaning with Pandas
• Basic Data Visualization

Python will help you automate tasks and handle large datasets efficiently.

Month 4: Data Visualization Tools

Data visualization helps present insights clearly to stakeholders.

Tools to Learn:

• Power BI
• Tableau

Focus on:

• Creating dashboards
• KPIs
• Interactive reports
• Data storytelling

Month 5: Build Projects & Portfolio

This is the most important month.

Build At Least 4–5 Projects:

• Sales Dashboard Analysis
• Customer Churn Analysis
• Marketing Campaign Performance Analysis
• HR Analytics Dashboard

Upload your projects on GitHub and create a LinkedIn portfolio. Recruiters care more about practical skills than certificates.

Month 6: Resume, Interview & Job Preparation

Now it's time to prepare for job applications.

Focus On:

• Resume building (ATS-friendly format)
• SQL interview questions
• Python coding questions
• Case studies
• Mock interviews

Apply for:

• Data Analyst
• Business Analyst (Entry Level)
• MIS Executive
• Junior Data Analyst

Skills Required to Become a Data Analyst

• Analytical Thinking
• Problem-Solving
• Communication Skills
• Attention to Detail
• Business Understanding

Average Salary of a Data Analyst in India

In India, freshers can expect:

• ₹3 – ₹6 LPA (Entry-Level)
• ₹6 – ₹12 LPA (2–4 Years Experience)

Cities like Mumbai, Bangalore, and Hyderabad offer strong job opportunities in analytics roles.

Tips for Freshers Without Technical Background

If you are from BCom, BA, BBA, or any non-technical background:

• Start with Excel and SQL
• Don’t fear coding — Python is beginner-friendly
• Practice daily for at least 2 hours
• Focus on real-world projects
• Improve communication skills

Consistency matters more than background.

Why Choose Ntech Global Solutions for Data Analytics Training?

If you are looking for structured guidance, practical exposure, and placement support, Ntech Global Solutions offers industry-oriented Data Analytics training designed especially for freshers. The institute focuses on hands-on learning with live projects, real datasets, interview preparation, and career guidance. Located in Andheri, Mumbai, Ntech helps students build job-ready skills in Excel, SQL, Python, Power BI, and more. With practical assignments and placement assistance, students gain both technical expertise and confidence to start their data analytics career successfully.

Final Thoughts

Becoming a Data Analyst in 6 months is possible if you follow a structured roadmap and stay consistent. Focus on learning practical skills, building projects, and preparing for interviews. The demand for skilled data analysts is growing every year - and with the right training and dedication, you can secure your first job in this exciting field.