NASSCOM FutureSkills Prime Certified Data Analysis Program — Hyderabad
Learning Objectives
By the end of this course, students will be able to:
- Apply Python programming fundamentals to data manipulation and analytics tasks.
- Perform end-to-end Exploratory Data Analysis (EDA) using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Understand and implement advanced statistical techniques, including probability distributions, hypothesis testing, confidence interval estimation, and feature engineering.
- Extract, manipulate, and analyze structured data using MySQL for real-world business scenarios.
- Design and develop interactive dashboards and visualisations in Power BI and Excel to communicate actionable insights.
- Integrate data from multiple sources to solve complex analytical problems.
- Execute hands-on analytics projects to derive business recommendations and support data-driven decision-making.
Languages & Tools Covered in Data Science course
Key Skills
Data Cleaning & Preparation- Data Wrangling & Transformation
- Exploratory Data Analysis (EDA)
- Statistical Inference & Hypothesis Testing
- Feature Engineering
- SQL Querying for Business Analytics
- Dashboarding & Storytelling with Data
Tools Covered
- Python (NumPy, Pandas, Matplotlib, Seaborn, SciPy)
- MySQL
- Power BI
- Microsoft Excel
- Jupyter Notebook / Visual Studio Code
- Web Scraping Tools (BeautifulSoup / Requests)
Why Choose Data Analysis at Innomatics?
- 500+ Industry experts from Fortune 500 companies
- Dedicated In-house data scientist team accessible round the clock
- 200+ Hours of intensive practical-oriented training
- Flexible Online and Classroom training sessions
- 5+ Parallel Data science batches running currently on both weekdays & weekends
- Backup Classes and Access to the Learning Management System (LMS)
- One-to-one mentorship and Free Technical Support
- FREE Data science Internshipon our projects & products
- Projects and use cases derived from businesses
- 30+ POCs and use cases to work, learn, and experiment
- Bi-weekly Industry connections from industry experts from various sectors
- Opportunity to participate in Meet-ups, Hackathons, and Conferences
- Dedicated training programs for NON-IT professionals
- 100% Placement Assistance
- Globally Recognized Certification from NASSCOM FutureSkills Prime
NASSCOM FutureSkills Prime Certified Advanced Data Analytics Program Curriculum (Syllabus)
The “Advanced Data Analytics and Visualisation” program is a comprehensive 200+ hour hands-on training designed to equip learners with in-demand analytical, statistical, and visualization skills.
To make learning structured and progressive, the course is divided into five modules, each focusing on key aspects of data analytics:
Reasons to Enroll
Data Analysts are in demand across every industry — from finance, healthcare, e-commerce, and manufacturing to emerging sectors like EdTech and logistics.
- Industry-Recognized Curriculum: Designed in alignment with NASSCOM FutureSkills Prime standards and industry expectations.
- Comprehensive Learning Path: Covers the entire analytics pipeline — from Python programming to dashboard storytelling.
- Hands-on Practice: Work on real-world projects like Sales Analytics Dashboard and Web Scraping for Data Collection & Cleaning.
- Career-Driven Outcomes: Prepare for roles such as Data Analyst, Business Analyst, MIS Executive, or Junior Data Scientist.
- Tool Mastery: Gain practical experience in Python, Pandas, MySQL, Excel, and Power BI.
- Expert-Led Training: Learn directly from industry practitioners with years of data analytics and visualization expertise.
- Portfolio Building: Create data-driven projects to showcase to employers and strengthen your resume.
- Job Readiness: Learn how to convert data into insights, and insights into strategic business decisions.
Ideal Participants
Fresh graduates or final-year students looking to start a career in Data Analytics.
BBA, B.Com, B.Sc, or Engineering students seeking data-driven career roles.
Professionals from non-technical backgrounds who want to transition into analytics.
CSE or IT graduates aiming to strengthen their applied analytics and visualization skills.
Business professionals, entrepreneurs, and working executives who want to make data-informed decisions.
Anyone curious about how data analytics drives modern businesses.
Job opportunities (Careers) in Data Analysis
Organizations today rely on Data Analysts to interpret complex data and translate it into meaningful insights that guide critical business decisions. Even global leaders like Google, Amazon, Deloitte, Accenture, PwC, and Microsoft consistently hire skilled data analysts to transform business data into strategy.
Here are some of the top career paths you can pursue in Data Analysis:
Data Analyst
With an average salary of (₹6–10 LPA in India), Data Analysts gather, clean, and analyze data to uncover trends, patterns, and insights. They create visual reports and dashboards that support data-driven decision-making across departments like sales, marketing, and operations.
Business Analyst
With an average salary of $90,000, Business Analysts act as the bridge between technical teams and management. They translate business needs into analytical requirements, analyze performance metrics, and recommend actionable improvements that optimize business processes.
Financial Data Analyst
With an average salary of $92,500, Financial Analysts use statistical and visualization tools to track investment performance, evaluate market trends, and forecast business growth. They’re essential for companies focused on ROI optimization and financial planning.
Marketing Data Analyst
With an average salary of $88,000, these professionals specialize in campaign tracking, audience segmentation, and conversion analysis. They evaluate marketing performance using data from multiple platforms like Google Analytics, Meta Ads, and CRM systems to maximize ROI.
Operations Analyst
With an average salary of $87,000, Operations Analysts optimize supply chains, logistics, and workflow efficiency. They evaluate bottlenecks, analyze productivity data, and recommend process automation and cost optimization strategies.
Product Analyst
With an average salary of $95,000, Product Analysts use data to understand how users engage with a product. They collaborate with UX and product teams to measure performance metrics, analyze user journeys, and enhance customer experience.
Business Intelligence (BI) Analyst
With an average salary of $101,000, BI Analysts develop dashboards and reports using tools like Power BI, Tableau, or Looker. They help executives monitor KPIs and make strategic business decisions backed by real-time analytics.
Risk Analyst
With an average salary of $98,000, Risk Analysts assess business, financial, and operational risks using statistical models. They work extensively in banking, insurance, and fintech sectors to help organizations mitigate potential losses.
Successfully Placed Innominions
Here are the Success Stories of our Innominions
Frequently Asked Questions (FAQs)
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What will I learn in the NASSCOM FutureSkills Prime Certified Data Analysis Program?
In the Data Analysis program, you will learn how to collect, clean, and interpret data to derive meaningful business insights. You’ll master data visualization, statistical analysis, and dashboard creation using tools like Python, SQL, Power BI, Tableau, and Excel.
The course is designed to help you make data-driven business decisions, identify trends, and provide actionable recommendations to enhance business performance.
What is the average salary of a Data Analyst?
In India, Data Analyst salaries range between ₹3 LPA to ₹12 LPA, depending on the candidate’s experience, domain expertise, and technical skills.
Here’s a typical breakdown:
Junior Data Analyst: ₹3–6 LPA
Business Data Analyst: ₹5–8 LPA
Senior Data Analyst / BI Analyst: ₹8–12 LPA
Skilled analysts with experience in SQL, Python, and Power BI can quickly advance to senior analytics or consulting roles.
Are there any prerequisites to learn this course?
– No prior programming experience is required. Basic Excel knowledge is sufficient. The course begins with Python fundamentals and gradually progresses to advanced analytics concepts.
What are my takeaways after completion of the course?
– You’ll have the confidence and skills to analyze datasets, build dashboards, and generate insights. You’ll also develop portfolio-ready projects to demonstrate your expertise to employers.
What are the career opportunities after completing this program?
Data Analysis opens up a wide spectrum of roles across industries.
Organizations in finance, e-commerce, healthcare, and consulting hire professionals who can convert raw data into strategic insights.
You can pursue roles such as:
Data Analyst
Business Analyst
Financial Analyst
Marketing Data Analyst
Operations Analyst
Business Intelligence Analyst
Analytics Consultant
With the growing data-driven culture across enterprises, the demand for Data Analysts continues to surge globally.
Is placement support available after the training?
– Yes. Learners receive career support, including resume-building sessions, mock interviews, and job referrals through our partner network.
How long is the course, and what will be the mode of training?
– The course runs for 200+ hours, delivered through LIVE online sessions, hands-on labs, and industry-relevant projects.