Develop essential data analytics skills and gain hands-on experience through Ivy Pro’s IBM-certified Data Analyst Course. This program prepares you to analyze, interpret, and visualize complex datasets, preparing you for in-demand roles in data analytics.
In today’s data-driven economy, businesses increasingly rely on data to make informed decisions. From finance and healthcare to technology and e-commerce, every sector is using data to identify trends, optimize performance, and make smarter choices. The need for skilled data analysts has skyrocketed, making this the perfect time to enter this field.
1.Rapid Growth: The data analytics industry is projected to grow by 30% CAGR over the next five years.
2.High Job Availability: Cities like Bangalore, Hyderabad, and Pune are hiring data analysts across industries.
3.Global Opportunities: The skills you gain as a data analyst are globally transferable, offering opportunities in top markets worldwide.
Key Trends Driving Demand for Data Analysts:
Our IBM-certified Data Analyst Course offers a complete learning path from foundational to advanced topics necessary for a successful career in data analytics. The curriculum emphasizes real-world applications, practical skills, and industry-relevant projects.
Advanced Excel Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
Automating Data Processing with Macros and VBA
Building Interactive Dashboards
Writing Complex SQL Queries (JOINS, Subqueries)
Database Design and Optimization
Query Performance Tuning
Project: Use SQL to manage a company’s database and write complex queries to extract valuable insights.
Data Visualization and Storytelling in Tableau
Creating Interactive Dashboards
Data Blending and Aggregation
Descriptive and Inferential Statistics
Hypothesis Testing, Regression, and Correlation
Probability Distributions
Project: Perform statistical analysis on survey data to uncover insights and present recommendations to improve customer satisfaction.
Data Wrangling in R
Building Predictive Models (Linear, Logistic Regression)
Predictive Analytics using Decision Trees and Random Forest
Project: Develop a customer churn model to predict customer behavior for a telecommunications firm using historical data.
Data Manipulation using Pandas and NumPy
Visualization with Matplotlib and Seaborn
Machine Learning Models using Scikit-learn
Project: Create a machine learning model to predict loan approvals for a bank based on historical financial data.
Supervised Learning: Decision Trees, Random Forests
Unsupervised Learning: Clustering, Principal Component Analysis
Text Mining and Sentiment Analysis
Project: Build a product recommendation engine for an e-commerce site, suggesting products based on customer data.
Data Processing with Hadoop
Real-time Analytics with Apache Spark
Handling Large Datasets in Distributed Systems
Project: Design a real-time analytics pipeline to process large-scale sales data for a retail chain using Apache Spark.
Approaching Analytics Questions
Guesstimates and Logical Puzzles
Solving Data Case Studies
Project: Solve a complex data case study related to optimizing logistics for an e-commerce business, presenting a data-driven solution.
Creating ATS-Friendly Resumes
Crafting a Tailored Resume for Data Analyst Roles
Job Searching and Networking Strategies
Workshop: Participate in a resume-building workshop where you will create an ATS-compliant resume and develop a job search strategy customized to your career goals.
Creating Effective Data Presentations
Structuring a Story with Data
Designing Visuals that Communicate Insights
Project: Prepare a data-driven PowerPoint deck to present a complete analysis of a business problem, including data findings, insights, and recommendations.
Combining All Skills: Data Extraction, Cleaning, and Visualization
Building Predictive Models and Visual Dashboards
Presenting Findings in a Professional Report
Project: Work on an end-to-end capstone project, where you’ll analyze data for a retail company, create predictive models, and deliver insights in a final presentation.
Predictive Analytics for Retail
Financial Data Modeling
Use time-series analysis to predict future sales for a major retailer and optimize inventory levels.
Create regression models to predict future stock prices or company revenue based on historical financial data.
Analyze patient data to predict treatment outcomes using machine learning models.
Healthcare Analytics
Throughout the course, students work on 30+ practical projects designed to replicate real-world data challenges. These projects allow you to apply the skills learned and build a robust portfolio for potential employers.
Featured Projects:
Customer Segmentation
Apply clustering techniques to segment customers based on behavior for personalized marketing strategies.
How Ivy Professional School, an IIT Partnered, Data Science Institute Stands Out from the Competition
quiz.IvyProSchool.com: A cutting-edge AI quiz engine that uses generative AI to create custom assessments, analyze performance, and deliver personalized learning recommendations for students and professionals.
A fully capable AI Judicial & Legal System. An AI-powered platform that provides predictive analytics and decision-making support in the legal and tax compliance sectors, helping CA, CS, law firms and other enterprises improve efficiency and deliver better outcomes.
Ivy Professional School just doesn't teach Data & AI, they build it! Ivy Pro is the only data science institute that has developed and commercialized a very innovative Data & AI platforms in the market.
Watch real alumni reviews of the best data science institute
A Data Analyst extracts meaningful insights from data, helping businesses make data-driven decisions. As data continues to grow exponentially, the demand for data analysts is at an all-time high, with roles across industries like finance, healthcare, and technology.
Learn more about why this career is booming on our Career Opportunities Page
Our course covers essential skills like Advanced Excel, SQL, Tableau, Python, and Machine Learning. You’ll complete over 30+ real-world projects, including predictive modeling and customer segmentation.
Explore the full course curriculum here.
Yes! Ivy Pro’s Data Analyst Course is certified by IBM, providing globally recognized credentials that enhance your resume and career prospects.
Learn more about our IBM certification here.
This course is ideal for:
Beginners interested in data analytics.
Professionals looking to switch careers or upskill.
Anyone seeking hands-on experience in data analysis and business intelligence.
Find out if this course is right for you here.
Ivy Pro offers comprehensive career services, including:
Job placement assistance
Resume building workshops
Interview preparation
Our alumni have secured roles at companies like Google, IBM, and Amazon.
Explore our career support offerings here.
The course can be completed in 6 months, with a recommended weekly commitment of 6–8 hours. It includes live sessions, self-paced modules, and real-world projects.
Check out the full course timeline here.
No prior experience is needed. This course is designed for beginners and professionals looking to upskill. The curriculum starts with fundamental concepts and builds up to advanced topics.
Learn more about the course prerequisites here.
Data analysts are in high demand, with salaries ranging from ₹8–12 Lakhs for entry-level roles to ₹30+ Lakhs for senior positions. Top companies hiring include Google, Microsoft, IBM, and Flipkart.
Explore detailed salary insights here.
Unlike many self-paced courses, Ivy Pro offers live interactive classes, 24x7 teaching support, and real-world projects, all backed by IBM certification.
Learn more about how Ivy Pro compares here.
