Job-ready Program in Data Science & Analytics

Investing in a data science and analytics course is highly worthwhile in today’s job market. With industries increasingly relying on data to drive decisions, professionals who can analyze, interpret, and visualize data are in high demand. This program equips you with in-demand technical and analytical skills, hands-on project experience, and career support, making it an ideal choice for students and freshers aspiring to build a career in data science. 

Benefits of Enrolling in this Program: 

• Learn Python, SQL, Machine Learning, and Visualization step by step from beginner to advanced levels. 

• Gain experience through 6+ industry projects and a capstone ML project. 

• Master 15+ essential tools like Tableau, Pandas, Numpy, and Seaborn. 

• Get mentored by industry experts from Meta and Disney+ Hotstar. 

• Access Placement Plus with 3 assured interviews, resume reviews, and mock tests. 

• Earn a dual certification with Golden Gate University, California, enhancing global career prospects. 

• Study flexibly with 200+ hours of recorded content and 100+ hours of live sessions.

Explore these data science and analytics courses designed to help you build strong technical foundations and industry-relevant skills:

• Masters in Data Science Degree from LJMU

• Executive Post Graduate Certificate Programme in Data Science & AI from IIITB

The value of data science and analytics courses lies in their ability to connect learning directly with career growth. This program is designed to equip you with both technical expertise and business acumen. 

Here’s what you will gain: 

• Practical Career Skills: Learn how to write Python scripts, query databases using SQL, and visualize data with Tableau. These are the same skills you’ll use in real job roles. 

• Immediate Industry Application: Projects are based on real-world problems like predictive modeling, exploratory data analysis, and business decision-making. 

• Confidence in Tools & Concepts: Exposure to 15+ tools ensures you graduate with practical, industry-ready knowledge. 

• Placement Assistance: Through Placement Plus, you’ll not only prepare for interviews but also secure guaranteed opportunities to showcase your skills. 

• Future Readiness: As businesses continue to depend on data for decision-making, your skills will stay relevant and highly valued. 

By the time you complete this data science and analytics course, you’ll be prepared to handle end-to-end data projects and confidently step into entry-level roles.

This program goes beyond surface-level learning. Each module is carefully curated to help you build mastery from basics to advanced concepts. 

Key Skills You Will Learn: 

• Python Programming for Beginners: Data types, structures, control statements, OOP, and solving business problems using Python. 

• Structured Query Language (SQL): Database design, data modeling, joins, set operations, and applying SQL to real business scenarios. 

• Data Analysis & Visualization: Learn how to manipulate and clean data using Pandas, Numpy, and Excel, and visualize it with Tableau, Matplotlib, and Seaborn. 

• Machine Learning Essentials: Understand regression, decision trees, clustering techniques, and their practical business applications. 

• Exploratory Data Analysis & Statistics: Master hypothesis testing, univariate and bivariate analysis, and derive actionable metrics. 

• Business Problem-Solving: Learn how to tell stories with data and make complex information understandable for stakeholders. 

• Capstone Project: Apply your skills by building a predictive ML model to evaluate lead conversion success. 

Each of these modules is backed by projects, ensuring you graduate with demonstrable skills rather than just theoretical knowledge.

The biggest advantage of completing data science and analytics courses is the direct career boost they provide. This program prepares you for highly sought-after entry-level roles, such as: 

• Data Analyst 

• Business Intelligence Developer 

• Applied Machine Learning Engineer 

• Associate Analyst Manager 

By combining technical expertise with problem-solving and communication skills, you will be able to position yourself as a strong candidate for companies across the technology, consulting, finance, and e-commerce sectors. 

Average Salary After Completing a Data Science and Analytics Course 

The salary outlook for data science professionals is highly promising. Freshers completing a data science and data analytics course can expect: 

• Data Analyst: ₹5L – ₹10L per year 

• Business Intelligence Developer: ₹6L – ₹12L per year 

• Applied Machine Learning Engineer: ₹8L – ₹15L per year 

• Associate Analyst Manager: ₹7L – ₹14L per year 

In global markets, entry-level data roles in the USA typically range from $75,000 to $120,000 annually. With experience, these figures rise substantially as data expertise continues to be in demand across industries. 

(Source: Glassdoor, Indeed; salary may vary by skill level, role, and location.) 

Top Companies Hiring Data Science and Analytics Graduates

Graduates from data science and analytics courses are in demand across industries. Some of the top recruiters include: 

• Google 

• Amazon 

• Microsoft 

• Deloitte 

• Accenture 

• PwC 

• EY 

• KPMG 

• Flipkart 

• TCS

Not all data science and data analytics courses are designed with beginners in mind. This program is unique because it focuses on building skills for students who are new to programming and analytics, while still providing depth and career readiness. 

Flexibility, affordability, and access to world-class mentors make online data science and analytics courses the best choice for students today. This program is designed to fit into your college schedule while providing robust career preparation. 

Key Reasons to Choose Online Learning for Data Science & Analytics: 

1. Beginner-Friendly Structure: Start from Python basics and gradually progress to machine learning. No prior coding experience required.

2. Flexible Learning: Balance academics with self-paced recorded sessions and live weekend classes. 

3. Affordable & Accessible: Learn with No-Cost EMI and scholarship options, without relocating or pausing your education. 

4. Long-Term Access: Access program content for 3 years post-completion for continued practice. 

5. Career-Ready Training: With Placement Plus, gain 55+ hours of career prep, resume-building, mock interviews, and soft skills training. 

This balance of flexibility, skill-building, and career services makes it one of the best data science and data analytics courses for freshers.