Start a career in data with the Data Analyst Course in Bangalore. This training helps beginners learn how data is collected, organised, and converted into meaningful insights for business decisions. The course teaches skills with tools such as Excel, SQL, Power BI, and basic Python. Learn with real-time examples, hands-on projects, and simple step-by-step guidance. This helps them build job analytical skills. The Data Analyst Course is perfect for anyone who wants to start a career in data and grow in today’s data-driven world. The course helps you enter the data industry with confidence. Students can grow in today’s data-driven world with the skills they learn.
Data Analyst Training In Bangalore
4.60
(1538)
DURATION
3 Months
EMI
0% Interest
Mode
Live Online / Offline
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Course Schedules
Course Syllabus
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Fees, Duration & Batch Timings for Data Analyst Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
June 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Data Analyst Course
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Module 1: Introduction to Databases and SQL
- Understanding Databases and RDBMS Concepts
- Introduction to SQL and Its Importance in Data Analysis
- Overview of Tables, Rows, Columns, and Data Types
- Setting Up SQL Environment (MySQL/PostgreSQL/SQL Server)
- Using SQL Interfaces and Tools
Module 2: SQL Basics for Data Analysts
- Writing Basic SQL Queries (SELECT, FROM, WHERE)
- Sorting Data (ORDER BY, ASC/DESC)
- Filtering with Operators (IN, BETWEEN, LIKE, NULL)
- Using Aliases and Expressions
- Limiting Results with LIMIT and OFFSET
Module 3: Data Aggregation and Grouping
- Aggregate Functions (SUM, AVG, COUNT, MAX, MIN)
- GROUP BY and HAVING Clauses
- Combining Aggregations with Conditions
- Nested Aggregations and Use Cases in Reporting
Module 4: Working with Joins
- Types of Joins: INNER, LEFT, RIGHT, FULL OUTER
- Understanding JOIN Conditions
- Joining Multiple Tables
- Real-Time Scenarios for Data Merging
- Handling NULLs in Joins
Module 5: Subqueries and Nested Queries
- Introduction to Subqueries (Single & Multi-row)
- Using Subqueries in WHERE, FROM, and SELECT
- Correlated vs. Non-Correlated Subqueries
- Real-Time Use Cases in Data Analysis
Module 6: Data Transformation and Manipulation
- CASE Statements and Conditional Logic
- Using COALESCE, NULLIF, and IFNULL Functions
- Data Type Conversions and Formatting
- String Functions and Date Functions for Data Cleaning
- Creating and Modifying Views
Module 7: Advanced SQL for Analytics
- Common Table Expressions (CTEs)
- Window Functions (RANK, DENSE_RANK, ROW_NUMBER, LEAD, LAG)
- Using PARTITION BY and ORDER BY with Window Functions
- Pivoting and Unpivoting Data
- Performance Tuning Basics (Indexes, Execution Plans)
Module 8: Data Integrity and Governance
- Understanding Primary Keys, Foreign Keys, and Constraints
- Transaction Control: COMMIT, ROLLBACK, SAVEPOINT
- Ensuring Data Quality and Consistency
- Introduction to Normalization and Denormalization
Objectives of Data Analyst Training
The Data Analyst Training in Bangalore is designed to help people learn to think in ways that get them the technical skills and practical knowledge needed for real jobs involving data. The training is about taking raw data and turning it into useful information that can help businesses make good decisions.
Basic Data Skills Development
This part covers core data concepts like data types, Excel basics, basic calculations, sorting, filtering, simple statistics, and data cleaning techniques. It helps people understand how raw data is structured and prepared for analysis.
Intermediate Data Analysis Techniques
People learn SQL for data extraction, joins, and database queries, along with Excel functions and pivot tables. Power BI is introduced for building reports and dashboards that help identify trends and business patterns.
Advanced Analytics and Visualization
Python libraries like Pandas and NumPy are used for data analysis, with Exploratory Data Analysis and data modeling. Interactive dashboards provide real-time analytics that support effective business decision-making.
Why Softlogic Systems is the Best Choice for Data Analyst Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
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Highlights of Data Analyst Course
What is the focus of the Data Analyst training?
Students learn essential data analysis techniques, work on real-world case studies, and develop industry-relevant problem-solving abilities.
Which tools are covered in the training?
The Data Analyst course includes Excel, SQL, Power BI, Tableau, and basic Python for data analysis and visualization.
Is the training suitable for beginners?
Yes, the Data Analyst course is designed in a simple and structured way, making it easy for beginners to understand data concepts.
Does the training include work?
Yes, people work on datasets, business case studies, and dashboard creation projects.
What kind of projects are included?
Projects include sales analysis, customer behavior reports, financial dashboards, and marketing performance analysis.
Will placement support be provided?
Yes, placement assistance includes resume building, interview preparation, and job guidance support.
What skills can be gained from the Data Analyst course?
Skills include data cleaning, data analysis, reporting, visualization, and decision-making using data insights.
Do people receive certification?
Yes, a course completion certificate is provided after completion of the Data Analyst training program.
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What Modes of Training are available for Data Analyst Course?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Certifications
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Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Data Analyst Course
Predictive Sales Analysis
Business KPI Dashboard
Social Media Performance Tracking
Healthcare Data Report
Website Traffic Analysis
Inventory Trend Analysis
HR Data Analytics Project
Marketing Campaign Analysis
E-Commerce Analytics Report
Financial Data Dashboard
Customer Behavior Study
Sales Performance Analysis
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Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
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SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
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FAQs
What are the core skills required to become a Data Analyst?
A Data Analyst needs a mix of analytical skills. Key tools include SQL for database queries, Excel for analysis, and Power BI or Tableau for visualization. Python is used for data analysis. Strong business understanding and communication skills are also important to explain insights.
What distinguishes a Data Analyst from a Data Scientist?
A Data Analyst focuses on studying past data to understand and improve business performance. A Data Scientist goes further by using machine learning and predictive models to forecast trends and build advanced data solutions.
What is the data analysis process?
The data analysis process includes four steps:
- Data collection from different sources.
- Data cleaning to remove errors and missing values.
- Data analysis using tools and techniques.
- Data visualization to present insights using reports and dashboards.
How do Data Analysts handle missing data?
Missing data is handled in various ways. Analysts may fill missing values using the average, estimate values using statistical methods, or mark them as “unknown” to avoid incorrect analysis results.
What are common challenges in Data Analysis?
Data Analysts often face challenges such as:
- Poor quality or messy data.
- Data is stored in different systems.
- Outliers affecting results.
- Difficulty in explaining insights to non-technical teams.
What is A/B testing?
A/B testing is a method where two versions of a webpage, email, or ad are compared to see which performs better. It helps improve conversion rates and marketing performance using user data.
What is correlation vs causation?
Correlation means two things are related and move together. Causation means one directly causes the other. Data Analysts must be careful not to assume that correlation always means cause and effect.
What is data cleaning?
Data cleaning is the process of fixing incorrect, missing, or duplicate data before analysis. It is one of the most important steps because clean data leads to accurate and reliable results.
Can you become a Data Analyst without a degree?
Having a Computer Science degree is beneficial but not essential. Many professionals come from backgrounds like business or commerce. Strong analytical and practical training matters more than formal education.
How can beginners start a Data Analyst career?
Beginners can start by learning SQL and Excel, then move to Power BI or Tableau. Building projects using real datasets and creating dashboards helps get job-ready skills and improve career opportunities.
Additional Information for
the Data Analyst Course
Additional Information for the Data Analyst Course
Future Scopes for Learning Data Analyst
There are future scopes for learning the Data Analyst Course:
- Business Intelligence Roles: Data Analysts play a key role in helping businesses make smarter decisions through data analysis.
- Big Data Analytics: With growing data volumes, businesses need professionals who can work with datasets. Big Data Analytics helps process and analyze data from multiple sources.
- AI and Machine Learning Support Roles: Data Analysts support AI systems by making sure the data is clean and organized.
- Cloud Data Analytics: Cloud platforms such as AWS, Azure, and Google Cloud are widely used for data storage and analysis. Data Analysts use these platforms for secure data processing.
- Marketing Analytics: Businesses use data analytics to understand customer behavior, improve campaigns, and increase conversions. It helps in targeted marketing and better ROI.
- Financial Analytics: Banks and fintech companies use data analytics for fraud detection, risk management, credit scoring, and financial forecasting to improve decision-making.
- Healthcare Analytics: In the healthcare sector, data is used to improve patient care, track disease patterns, manage hospital operations, and support medical research.
- E-Commerce Analytics: Online businesses use data to analyze customer behavior, improve product recommendations, optimize pricing, and increase sales performance.
- Product Analytics: Companies track how users interact with products to improve features, user experience, and performance. It helps in building digital products.
- Freelancing Opportunities: Skilled Data Analysts can work independently on projects such as dashboards, reports, and data insights, offering income and flexible career options.