Stuck in your career? Upgrade your skills.
Leading Data Analytics Course in Rohini with 100% Placement Support
Digital Marketing Training in Rohini
Who Should Join This Course
Students
Degrees alone aren’t enough! Gain job-ready skills & earn while studying.
Freelancers
Struggling for clients? Master digital marketing & get high-paying projects.
Working Professionals
Entrepreneurs
Losing to competitors? Grow your business & boost profits online.
Tools you'll Learn
Why Enroll in Our Data Analytics Course in Rohini
The Master in Data Analytics Course at DSSD Rohini is designed for learners who want strong analytical skills, hands-on experience, and career-focused training. At the DSSD Rohini training center, students can opt for In-Class (Offline) live training sessions, ensuring flexibility while gaining practical exposure to real-world data analysis tools and projects.
Data Analytics Course
- 60+ Modules
- 300 Hrs Training
Special Session
- Case Study Discussion
- 300 Hrs Training
Tools & Software / LMS
- Tools
- LMS
Live Projects Exposure
- 2 Months Training
- Live Projects
Rohini Branch Batch Details
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Master Data Analytics Course Near Me in Rohini with 30+ Advanced Modules
- Advanced Excel
- Statistics & Data Interpretation
- Data Cleaning & Data Preprocessing
- SQL for Data Analysis
- Python for Data Analytics
- NumPy, Pandas & Matplotlib
- Data Visualization
- Dashboard Creation
- Google Sheets
- Business Intelligence Concepts
- Data Modeling Techniques
- Exploratory Data Analysis
- KPI & Metrics Analysis
- Case Studies & Practical Assignments
- Real-Time Industry Projects
- Data Analytics with Live Datasets
- Forecasting & Trend Analysis
- Basics of Machine Learning
- Portfolio & Resume Building
- Interview Preparation & Mock Interviews
- Freelancing & Career Guidance
- Placement Assistance
- Git & Version Control
- Automation using Python
- API Data Extraction
- Big Data Basics
- HR & Operational Analytics
- Forecasting & Predictive Analytics
- DAX Functions & Data Modeling
- Probability & Hypothesis Testing
- Forecasting & Predictive Analytics
How a Data Analytics Course in Rohini Can Boost Your Career
Our Master’s in Data Analytics Course in Rohini includes 50+ industry-focused modules and 2 months of live practical training for real-world data analysis experience.
Advanced Excel plays a crucial role in data analytics by enabling professionals to efficiently organize, analyze, and interpret large and complex datasets with high accuracy. In this module, learners gain in-depth knowledge of advanced formulas, Pivot Tables, Pivot Charts, Power Query, lookup functions, data validation, and conditional formatting to manage and clean data effectively. The course also focuses on creating interactive dashboards, MIS reports, and automated workflows using Macros and VBA, helping users save time and reduce manual effort. Students learn how to analyze trends, track KPIs, and generate actionable insights for business decision-making. Advanced Excel is widely used across industries for performance analysis, financial reporting, sales tracking, and operational analysis. Mastery of Advanced Excel builds a strong foundation for roles such as Data Analyst, Business Analyst, MIS Executive, and other corporate analytics positions, making it a highly valuable and in-demand skill.
SQL (Structured Query Language) is a core skill in data analytics used to store, manage, and analyze large volumes of data stored in databases. In this module, learners gain hands-on experience with writing queries to retrieve, filter, sort, and aggregate data efficiently. The course covers SQL basics to advanced concepts, including SELECT statements, WHERE clauses, JOINs, subqueries, GROUP BY, HAVING, views, indexes, and stored procedures. Students also learn database design concepts and real-world data handling techniques. Mastering SQL enables data analysts to work with relational databases, generate meaningful reports, and support data-driven business decisions across industries.
Database Management is a core component of a Data Analytics course, focusing on how data is stored, organized, and managed efficiently. In this module, students learn the fundamentals of databases, including relational database concepts, tables, keys, normalization, and relationships. It covers Structured Query Language (SQL) for creating, retrieving, updating, and managing data. Learners understand how to design database structures, maintain data integrity, and ensure security. The module also introduces database management systems (DBMS) and real-world data handling techniques used in organizations. Strong knowledge of database management helps aspiring Data Analysts efficiently work with large datasets, extract meaningful information, and support data-driven business decisions.
Python for Data Analytics is one of the most powerful and widely used programming skills in the analytics industry. In this module, students learn Python fundamentals including variables, data types, loops, and functions, followed by data-focused libraries such as NumPy, Pandas, and Matplotlib. The course emphasizes data cleaning, data manipulation, exploratory data analysis (EDA), and visualization techniques. Learners work on real-world datasets to understand how to extract meaningful insights and automate repetitive tasks. Python also introduces basic concepts of machine learning and predictive analytics. With hands-on projects and practical assignments, students build strong problem-solving skills, preparing them for roles like Data Analyst, Business Analyst, and Junior Data Scientist.
Data Visualization is a core component of data analytics that focuses on presenting data in a clear, visual, and meaningful way to support decision-making. In this module, learners explore industry-standard tools such as Power BI and Tableau to create interactive charts, dashboards, and reports. The course covers data modeling, DAX basics, visual best practices, and storytelling with data. Students learn how to transform raw datasets into visually compelling insights that highlight trends, patterns, and KPIs. Strong data visualization skills help professionals communicate complex information effectively, making this module essential for Data Analysts, Business Analysts, and management reporting roles.
Power BI is a leading business intelligence and data visualization tool used to transform raw data into meaningful insights. In this module, students learn how to connect multiple data sources, clean and transform data using Power Query, and build interactive dashboards and reports. The training covers data modeling, relationships, DAX (Data Analysis Expressions) functions, and advanced visualization techniques. Learners gain practical experience in creating real-time business reports, KPI dashboards, and performance tracking systems. Power BI helps organizations make data-driven decisions by presenting complex information in a clear and visual format. This skill is highly valuable for careers such as Data Analyst, Business Intelligence Analyst, and Reporting Analyst across various industries.
Tableau is a leading data visualization tool used to convert raw data into interactive and meaningful dashboards. In this module, students learn how to connect Tableau with different data sources such as Excel, SQL, and cloud databases. The training covers data blending, calculated fields, filters, parameters, charts, maps, and dashboard creation. Learners gain practical experience in designing professional reports that help businesses understand trends, patterns, and key performance indicators (KPIs). Tableau makes complex data easy to understand through visual storytelling. This skill is highly valuable for Data Analysts, Business Intelligence professionals, and decision-makers who need clear and impactful data presentations for strategic planning.
Machine Learning is an advanced concept in data analytics that enables systems to learn from data and make predictions or decisions without being explicitly programmed. In this module, students learn the fundamentals of supervised and unsupervised learning, including regression, classification, clustering, and model evaluation techniques. The course introduces algorithms such as Linear Regression, Decision Trees, and K-Means, along with practical implementation using Python. Learners understand how to train models, test accuracy, and improve performance using real-world datasets. Machine Learning helps businesses forecast sales, detect fraud, predict customer behavior, and automate decision-making processes, making it a highly valuable skill for aspiring Data Analysts and Data Scientists.
Find & Compare Job-Oriented Data Analytics Courses in Rohini
Diploma Course
₹
20,000/-
- 50+ In-Depth Learning Modules
- 140+ Hours of In-Depth Training
- Placement Assistance
- Real-World Assignments
- Live Q&A Sessions
- Tools & Software Training
Advanced Course
₹
30,000/-
- Advanced Modules
- Comprehensive E-Notes
- Internship Support with Placement Assistance
- Live Projects
- Google + DSSD Certification
- Live Case Studies & Capstone Projects
Master Course
₹
40,000/-
- 50+ In-Depth Modules 500+ Hours of Practical Training
- Hands-on Live Projects
- 30+ Globally Recognised Certifications
- Live Q&A Sessions & Expert Support Forum
- Experience & Industry-Recognised Certification
- On-Board Training Program (2 Months)
- Graphic Design Course
Industry Expert Faculty
What Our Students Say About Us
Training Location
HAPPY STUDENTS
Frequently Asked Questions
What is the course content of the Data Analytics training program?
This 6 months Data Analytics training program includes fundamentals of fundamental of coding, basics of Data Analytics, advanced techniques, difficult problems, principles, and best practices in Data Analytics.
How much does the Data Analytics training program cost?
To know more about the fee structure for this 6 months practical Data Analytics training program, kindly call our admission counsellor on this mobile number 9811128610
How long does the Data Analytics training program last?
The program takes 6 months to complete, with classes held regularly.
How can I enroll in the Digital Marketing course at DSSD Rohini?
Enrollment is simple and quick. Students can visit the DSSD Rohini center, contact the team via phone, or register online. After discussing batch timing and course details, the registration can be completed with a small admission fee. The DSSD team guides you through the entire process and ensures you join the right batch according to your skill level and availability.
Are there any prerequisites for enrolling in the Data Analytics training program?
No, prior experience is not required to learn Data Analytics. However, having a basic understanding of Data Analytics will be beneficial as Data Analytics builds upon these foundational web technologies.
How will DSSD help me enhance my skills for the long term?
DSSD focuses on skill development beyond the classroom. Students get continuous guidance, updated study material, free tool demos, and regular workshops on industry trends. The institute teaches long-term strategies in SEO, advertising, branding, content planning, and analytics, ensuring you stay competitive in the digital world. Lifetime support for queries and career guidance helps students upgrade even after completing the course.
Will I gain practical experience and work on projects during the training?
Yes, the 6 months Data Analytics program includes hands-on practice and project work to help you learn
Do I need to bring my own laptop for the training?
Yes, it is advisable to bring your own laptop for hands-on practice during the training sessions. If you don’t have a laptop right now, you can use our computer during the training session. Make sure your laptop meets the minimum requirement specified by the training provider, such as a specific operating system and web browser.
Does DSSD offer demo classes before enrollment?