This is what you should know before starting a Data Analyst Course?

Data Analyst Course is one of the most in-demand training programs today as companies rely on data to make decisions and grow faster. The demand for skilled Data Analysts is increasing at a fast pace as companies depend more on data to make business decisions. A Data Analyst course teaches you how to collect, clean, analyze, and visualize data so you can help companies find useful insights. Whether you are a student or a working professional, learning data analysis can open the door to high-income career opportunities.

This guide covers the Data Analyst course syllabus, fees, free certifications, online learning options, and industry-level tools used in real companies.

What Is a Data Analyst?

A Data Analyst is a professional who is responsible for collecting, organizing, cleaning, analyzing, and interpreting data to help businesses make better decisions.

They analyze structured and unstructured data to look for patterns, trends, and business opportunities.

Key Responsibilities of a Data Analyst:

• Data collection from various sources
• Cleaning and preparing datasets
• Statistical analysis
• Creating dashboards and visual reports
• Helping with decision-making for business growth

Data Analysts are required in almost every industry, such as IT, finance, healthcare, marketing, retail, and manufacturing.

Why Should You Learn Data Analysis?

• High demand in every industry

• Good salary growth

• Work-from-home and freelance opportunities

• No coding degree required

• Strong career stability

• Multiple job roles: Data Analyst, Business Analyst, Marketing Analyst, Financial Analyst

Data Analyst Course Syllabus (Beginner-Friendly & Industry-Standard)

Below is the ideal syllabus for anyone starting a career in data analytics:

• • Mean, median, mode

  • Probability

  • Linear regression

  • Correlation

1. Introduction to Data Analytics

• Fundamentals of data

• Importance of analytics

• Types of analytics

• Real business applications

2. Excel for Data Analysis (Beginner to Advanced)

• Basic & advanced formulas

• Pivot tables

• Data cleaning

• Dashboards

• Charts & reporting

3. SQL for Data Querying

• Basic to advanced SQL

• Joins & subqueries

• Database concepts

• Real dataset practice

4. Python for Data Analytics

• Python basics

• Pandas, NumPy

• Data cleaning

• Data visualization

• Exploratory Data Analysis (EDA)

5. Data Visualization Tool

Power BI / Tableau (choose any one):

• Dashboard creation

• KPI reporting

6. Statistics for Data Analysis

• Mean, median, mode
• Probability
• Linear regression
• Correlation
• Hypothesis testing

Data Analyst Course Fees

The course fee for Data Analyst training varies depending on the training institute, course duration, and the extent of practical training provided.

Average Course Fee in India:

• Offline professional courses: ₹10,000 – ₹50,000
• Online courses for beginners: ₹500 – ₹3,000
• Free courses for beginners: ₹0

The training institutes that provide live projects, internships, and placement assistance may charge slightly higher course fees as they provide hands-on training in the actual industry environment.

TechBooz: Affordable fee & Job-Oriented Training

If you are searching for a quality course with an affordable price tag, then TechBooz is one of the most reliable training institutes for Data Analytics training in Karnal.

What TechBooz Provides:

• Affordable course fees for students and working professionals
• Practical training with real-world datasets and projects
• Industry-standard tools such as Excel, SQL, Python, Power BI
• Exclusive placement assistance and interview preparation
• Beginner-friendly training with mentor guidance
• At TechBooz, students not only learn but also develop the skills and confidence required to get placed in top companies.

If You Want To know More About Techbooz Visit here: Techbooz.com

Best Data Analyst Course Providers

1. Google Data Analytics Certificate:

Google Data Analytics Certificate is one of the best courses for those who have no experience. It includes the entire analytics process, from Excel/Sheets to SQL, Tableau, and projects. It is free to begin with and is highly sought after for entry-level positions.

2. Microsoft Data Analyst Certification (Power BI):

Microsoft Data Analyst Certification is primarily centered on Power BI and dashboard analysis. It has free learning resources on Microsoft Learn and is recognized worldwide, making it ideal for reporting and business analysis purposes.

3. YouTube & MOOCs:

YouTube and other sites like Coursera and edX have free tutorials on Excel, SQL, Python, and basic analytics. These are perfect for learning the basics before enrolling in a course.

Data Analyst Course Online (Best for Students)

Many learners prefer online courses because:

• Flexible timings

• Low fees

• Certificate included

• Self-paced learning

Online courses also provide downloadable resources and real datasets for practice.

What are the 4 types of Data Analysis?

The four main types of data analysis are:

• Descriptive Analysis – explains what happened using past data

• Diagnostic Analysis – identifies why it happened by finding causes

• Predictive Analysis – predicts what may happen in the future using trends

• Prescriptive Analysis – suggests the best actions to take for better results

These four types form the foundation of business decision-making in analytics.

Career Opportunities After a Data Analyst Course

After finishing a Data Analyst course, you can apply for:

• Data Analyst

• Business Analyst

• Data Visualization Specialist

• Reporting Analyst

• Marketing Analyst

• Sales Analyst

• Junior Data Scientist

Data Analysts earn between ₹3 Lakh to ₹12 Lakh per year, depending on skills and experience.

Conclusion

If you want a practical and job-ready Data Analyst course, TechBooz is one of the best places to start. Our training follows an IBM-inspired syllabus, covering everything from Excel, SQL, and Python to Power BI/Tableau, statistics, and real business projects. You learn with real datasets, improve your analytical thinking, and build a portfolio that companies actually trust.

We focus on step-by-step learning so beginners can understand every concept without confusion. By the end of the course, you will have the skills needed to apply for data analyst, business analyst, junior data scientist, and reporting analyst roles.

FAQ’s

1. Which course is best for Data Analytics?

The best course includes Excel, SQL, Python, Power BI, statistics, and real-world projects with placement support.

2. Does TCS hire Data Analysts?

Yes, TCS hires Data Analysts and prefers candidates skilled in Excel, SQL, visualization tools, and project experience.

3. What are the 4 types of Data Analysis?

The four types are Descriptive, Diagnostic, Predictive, and Prescriptive analysis.

4. Can I learn Data Analyst in 3 months?

Note:

At TechBooz, we regularly publish helpful learning resources for students and professionals. You may also find these blogs useful:

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