In a world where even your smartphone usage generates data trails, the skill to interpret that data is impressive and it is essential. At Win in Life Academy, we teach you tools. We build data for storytellers, thinkers, and professionals. You will dive deep into Excel, SQL, Python, Tableau, Power BI, and more. You will decode raw datasets, model business scenarios, and present dashboards that speak louder than slides. Through a mix of real-world case studies and live projects, we help you master not just the what, but the why behind the data.
This is an immersive course. You will be solving actual industry challenges, framing questions like a consultant, and presenting them as a leader. By the end of 6 months, you will know how to mine insights from chaos and more importantly, how to use them.
Advance your career with our comprehensive PG Diploma in AI and ML course. Gain practical skills through live online sessions and hands-on capstone projects. Learn generative AI, machine learning algorithms, and Python programming. Benefit from expert mentorship and a curriculum aligned with industry demands. Earn a globally recognized certification upon completion and join an elite community of AI ML professionals. Access interactive Q&A support and discussion forums, mastering data science solutions for real-world business challenges. Available online and at learning centers in major Indian cities.
Are you ready to transform yourself with data-driven decisions? If you are a curious beginner or data professional, this AI ML data analytics combo course is for you. Artificial intelligence, Machine Learning, and Data analytics are the driving force behind innovation, decision-making, and problem-solving across diverse industries. This combo course is specifically designed to help you with fundamental knowledge and practical skills required to become a proficient data-driven professional. By completing this course, you will be able to use technologies in your work, or build a career in this high-demand field. With the holistic learning experience at Win in Life Academy, your journey starts with the essential concepts of data collection, cleaning, and analysis, delve into the fascinating world of machine learning algorithms, and explore how artificial intelligence brings intelligent automation and prediction to life.
Transform your career by choosing from traditional to practical journey with WIL’s comprehensive PG Diploma in Data Science and AI ML combo course. This meticulously designed course provides a robust foundation by integrating core data science principles, including data collection, cleaning, statistical analysis, and visualization techniques using Python and R. Master practical applications of Machine learning algorithms and broader spectrum of artificial intelligence, exploring advanced topics such as Natural Language Processing, Computer Vision, and Deep Learning, with hands-on with hands-on projects, industry-relevant curriculum, expert instruction, and dedicated placement support.
Industry-Driven Curriculum
We do not believe in fluff. Every module, every tool is there because top companies use it and need people who can too.
Hands-on Learning Experience
Learn by doing it. Projects, data cleaning, dashboards, statistical models—every lesson has a real-life application.
Expert Mentorship & Support
Get direct access to professionals who’ve been where you want to go. Stuck? You will never be alone.
Career-Focused Outcomes
Resume building, mock interviews, LinkedIn optimization, and job connections. We help you get interview-ready and industry-visible.
This industry expert driven curriculum is specifically designed to provide a comprehensive understanding of data analytics, from foundational spreadsheet skills to advanced visualization and statistical analysis, equipping learners with practical tools and methodologies for a successful career in data.
Course curriculum for Data Analytics courses is specifically designed by expert industry professionals.
This module covers Microsoft Excel, a fundamental tool for data handling, analysis, and reporting in almost any business environment.
1.1 Excel Fundamentals
1.2 Essential Excel Functions
1.3 Data Manipulation & Cleaning
1.4 Data Analysis Tools in Excel
1.5 Basic Data Visualization in Excel
This module provides an overview of the data ecosystem, introducing various tools and concepts that data professionals utilize beyond spreadsheets.
2.1 Understanding Data Types and Sources
2.2 The Data Analysis Process (Overview)
2.3 Introduction to Data Storage Concepts
2.4 Overview of Data Tools Categories
2.5 Google Sheets for Collaboration
This module delves into the core methodologies and types of data analytics, focusing on analytical thinking and problem-solving.
3.1 Introduction to Data Analytics Concepts
3.2 Types of Data Analytics
3.3 Framing Business Problems with Data
3.4 Data Storytelling Fundamentals
3.5 Ethics in Data Analytics
This module provides the foundational statistical knowledge necessary for interpreting data and drawing valid conclusions.
4.1 Introduction to Statistics
4.2 Descriptive Statistics
4.3 Probability Concepts
4.4 Inferential Statistics
4.5 Correlation and Regression
This module focuses on using Structured Query Language (SQL) to extract, manipulate, and prepare data from relational databases.
5.1 Introduction to Databases and SQL
5.2 Basic SQL Queries
5.3 Filtering and Operators
5.4 Aggregation and Grouping
5.5 Joining Tables
5.6 Advanced SQL Concepts
5.7 Data Manipulation Language (DML)
This module focuses on using Tableau, a leading data visualization tool, to create interactive and insightful dashboards.
6.1 Introduction to Tableau
6.2 Building Basic Visualizations
6.3 Data Preparation in Tableau
6.4 Calculations and Parameters
6.5 Building Interactive Dashboards
6.6 Storytelling with Tableau
6.7 Sharing and Collaboration (Overview)
This module covers Microsoft Power BI, another powerful business intelligence tool for data analysis and visualization.
7.1 Introduction to Power BI
7.2 Data Transformation with Power Query
7.3 Data Modelling and Relationships
7.4 Data Analysis Expressions (DAX)
7.5 Building Interactive Reports
7.6 Designing and Publishing Dashboards
7.7 Sharing and Collaboration in Power BI Service
Typically, a bachelor’s degree in a quantitative discipline such as Engineering, Commerce, Mathematics, Statistics, or Computer Science is required. Logical thinking and analytical ability are essential. Win in Life Academy’s beginner-level Data Analytics Course starts from scratch and teaches programming basics, but prior knowledge in math and stats is certainly helpful.
A data analytics course from Win in Life Academy prepares students for real-world business problems by combining theory with practice. You’ll work on real or simulated datasets, dive deep into case studies from various domains like healthcare, retail, or finance, and learn to use powerful tools like Python, SQL, Excel, Tableau, and Power BI. Emphasis is also placed on storytelling—communicating your findings effectively to non-technical stakeholders.
Win in Life often offers 100% Placement Assistance that includes resume workshops, LinkedIn profile optimization, interview coaching, and connections to job opportunities through dedicated job boards or corporate tie-ups. Top institutes also offer career counseling and mock interviews. However, placement success depends heavily on the institute and your own efforts.
The duration may vary quite a bit depending on the modules and the course you choose. Short term certification programs usually last 3-6 months, with fees between ₹50,000 to ₹2,50,000. Postgraduate diplomas or advanced certificate courses might run from 6 months to a year, costing ₹1,00,000 to ₹5,00,000.
By enrolling in the Data Analyst Course from Win in Life Academy, you will learn to clean and organize raw data, conduct exploratory analysis, apply statistical techniques, and visualize data using charts and dashboards. Mastery of SQL, Excel, Python (or R), and tools like Tableau or Power BI is also part of the curriculum. In short, it covers everything from data wrangling to deriving insights.
A Data Analyst course from Win in Life Academy is focused on analyzing past data—asking what happened and why. A Data Science course involves predictive modeling and machine learning to forecast future outcomes. Business Intelligence, meanwhile, is more about creating dashboards and reports for decision-makers, often with less emphasis on programming or statistics.
The most common tools at Win in Life Academy’s Data Analyst Course curriculum include Microsoft Excel, SQL (like MySQL or PostgreSQL), Python or R for programming, and visualization software like Tableau and Power BI. You may also get exposure to cloud-based analytics tools or data warehousing concepts depending on the course depth.
In a Data Analyst Course from Win in Life Academy’s common projects include analyzing sales performance, predicting customer churn, measuring marketing effectiveness, HR attrition analysis, and budgeting financial data. These projects not only hone your technical skills but also add valuable real-world experience to your portfolio.
Python is simple, readable, and has an enormous library ecosystem tailored for data work. Whether you are cleaning data with Pandas, visualizing it with Matplotlib or Seaborn, or performing advanced analysis, Python’s versatility and widespread industry adoption make it an indispensable tool.
Start with Pandas and NumPy for data manipulation and numerical analysis. For visualization, Matplotlib and Seaborn are key. Learn the basics of Scikit-learn for simple predictive models, especially if your role leans toward Data Science.
Python, especially with Pandas, allows analysts to fill or drop missing values, eliminate duplicates, fix data types, normalize values, and reshape data. These preprocessing tasks are essential before diving into analysis or building models.
Visuals include bar charts, histograms, pie charts, scatter plots, box plots, violin plots, heatmaps, and even maps with geospatial libraries. These help in understanding patterns, distributions, and relationships in the data clearly.
The foundational mathematical and statistical concepts include in Win in Life Acacedmy’s data analyst syllabus generally include descriptive statistics, probability theory, hypothesis testing, regression analysis, and basic linear algebra. Understanding these concepts is essential for interpreting data accurately.
A data analyst syllabus for data analyst course from Win in Life Academy includes basics like SELECT and WHERE clauses, as well as more advanced queries with JOINS, subqueries, and CTEs. You’ll also learn how to manipulate databases with INSERT, UPDATE, and DELETE commands, often using tools like MySQL or PostgreSQL.
Modules in data analyst syllabus usually cover chart types, visual storytelling principles, and the use of Tableau, Power BI, or Python libraries. Students also learn dashboard creation, using color and layout effectively, and presenting insights clearly to decision-makers.
Case studies and capstone projects are integral to the data analyst syllabus from the Data Analytics course at Win in Life Academy. It often simulates industry problems. These exercises help apply learned skills end-to-end—from cleaning data to generating actionable insights.
Data analytics help identify trends and patterns, which machine learning then uses to make predictions. In essence, ML builds on the foundation laid by analytics, taking the next step to automate and forecast future outcomes.
Algorithms in Data analytics and machine learning applied in data analytics for predictive purposes include Linear and Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, and K-Means Clustering. These are used for both classification and regression tasks, depending on the problem.
The integration of machine learning enhances the capabilities of data analytics, enables systems to detect patterns, predict outcomes, and recommend actions—automating complex decision-making. It adds a layer of intelligence on top of basic analytics, making insights more proactive than reactive.
The career roles specifically leverage both data analytics and machine learning skills in India include Data Scientists, Machine Learning Engineers, Advanced Data Analysts, and AI Engineers. Even Business Intelligence Analysts are increasingly expected to understand predictive modeling.
The distinction between data analytics AI and Machine learning is here as data analytics extracts insights from data. Machine Learning builds models using those insights. AI is the umbrella concept aiming to simulate intelligent human behavior, with ML and analytics as core components.
From predicting diseases in healthcare to personalizing shopping experiences in e-commerce, the fusion of these technologies is revolutionizing decision-making. In finance, it’s powering fraud detection; in manufacturing, predictive maintenance; and in telecom, it’s optimizing networks and improving customer experience.
Key concerns include data privacy, algorithmic bias, lack of transparency, job displacement, and misuse of AI. Organizations must adopt responsible AI practices and ensure systems are explainable and equitable.
The projected job market trends for professionals skilled in data analytics AI and machine learning in India for the next 5-10 years is booming. With industries digitizing rapidly, skilled professionals in this domain are becoming indispensable. Salaries are competitive, roles are expanding, and the talent gap ensures long-term opportunities in roles like Data Scientist, AI Engineer, ML Engineer, and beyond.
