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Data Analytics

Join Advance Data Analytics to master the power of data-driven decision making and business intelligence! Learn how to analyze, visualize, and interpret complex datasets using Python, SQL, and BI tools, sharpen your skills in statistics, machine learning, and predictive modeling, and build real-world dashboards and analytics solutions — all while exploring how AI-powered analytics is transforming businesses and driving smarter strategies.

Harshit gupta

Harshit gupta

Advance

Data Analytics & Business
Our Course Benefits
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Data Analytics Mastery

SQL & Databases

Business Intelligence Tools

AI-Augmented Analytics

Statistics & Business Insights

Python for Analytics

Applied Machine Learning

Real-World Case Studies

Career Sectors & Job Roles
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Business Intelligence & Analytics

Product Companies & Startups

Data Infrastructure & Cloud Analytics

AI Ethics & Governance

Enterprise Data & Consulting

Finance & E-commerce

AI & Smart Analytics

Freelancing & Remote Work

What to expect from this course
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Advance Data Analytics is your gateway to becoming a data-driven decision maker capable of extracting insights, building predictive models, and driving business strategy through analytics. This comprehensive program takes you from the foundations of data handling and visualization to mastering advanced statistical methods, machine learning techniques, and AI-augmented analytics.

You'll start by learning the core principles of data collection, cleaning, and transformation, then dive into SQL, Python, and BI tools (Tableau, Power BI) for visualization and reporting. From there, you'll explore statistical modeling, machine learning for predictive analytics, and big data handling, while gaining hands-on experience with cloud platforms (AWS, GCP, Azure) for scalable analytics. Along the way, you'll also build expertise in AI-driven insights, ethics, and governance, ensuring responsible and impactful data practices across industries.

Through hands-on labs, real-world case studies, and expert mentorship, you'll gain the ability to work with diverse datasets, design dashboards, build predictive models, and communicate insights effectively.

By the end of the course, you'll have the technical depth, applied portfolio, and interview-ready confidence to excel as a Data Analyst, Business Analyst, BI Specialist, or Analytics Consultant across finance, e-commerce, healthcare, SaaS, and enterprise IT.

With a structured curriculum, industry-grade projects, and career-focused guidance, Advance Data Analytics is designed to make you future-ready, equipped to thrive in a world where data and AI are driving every major decision.

The Curriculum
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  • Role of a data analyst
  • Python programming (variables, control flow, functions, lambdas)
  • Data structures: lists, tuples, dictionaries
  • File I/O: CSV, JSON
  • GitHub basics & repo setup
  • Jupyter Notebook environment
  • Introduction to NumPy & Pandas

  • Pandas: Series, DataFrame creation, indexing, filtering
  • Handling missing values, groupby, joins, pivot tables
  • NumPy basics
  • Web scraping with BeautifulSoup
  • REST API integration with requests

  • SQL queries: SELECT, WHERE, GROUP BY, HAVING, ORDER BY
  • Joins, aggregations
  • Database creation & normalization
  • SQLite & SQLAlchemy integration with Python

  • Data distributions, outliers, missing value patterns
  • Correlation matrix; heatmaps
  • Visualization tools: Matplotlib, Seaborn, Plotly + Dash
  • Power BI: Interface, data import, basic dashboards

  • Central tendency & spread
  • Probability & Normal Distribution
  • Linear regression & evaluation metrics (RMSE, MAE, R²)
  • Scikit-learn workflow
  • Power BI: Data modeling, DAX basics, custom visuals

  • Classification Models: Logistic regression
  • Tree-Based Models: Decision Trees, Random Forests, feature importance
  • Unsupervised Learning: K-Means, DBSCAN, clustering & evaluation (silhouette score)
  • Model Tuning: Scaling, pipelines, GridSearchCV

  • Feature engineering: one-hot, label encoding
  • Feature selection, variance threshold
  • End-to-end ML pipeline: data collection, cleaning, EDA, feature engineering, model building, evaluation, reporting

  • Ensemble learning: XGBoost, LightGBM, voting classifiers
  • Natural Language Processing (NLP): TF-IDF, preprocessing, sentiment analysis
  • Generative AI for ML: Prompting, GPT for data generation, synthetic dataset creation
  • AutoML: H2O, Google AutoML, MLflow basics, model deployment in Power BI

  • Capstone 1: End-to-end ML project (e.g., House Price Prediction, Bank Loan Approval, Netflix Show Popularity)
  • Capstone 2: Industry simulations - Churn Prediction (Telecom), Predictive Maintenance (Manufacturing), Credit Scoring (FinTech), Fraud Detection (E-commerce)
  • Industry dashboards in Power BI

  • Resume building & LinkedIn branding
  • GitHub portfolio structuring & demo projects
  • Mock interviews: SQL + ML + Case studies
  • Behavioral interview prep
  • Portfolio demo day with Power BI dashboards

Data Analytics Case Study Projects

Explore our Data Analytics Case Study Projects, where we dive into real-world scenarios to showcase how data-driven insights can transform businesses. Each project highlights innovative solutions and analytical techniques that lead to impactful decision-making. Join us in uncovering the power of data!

Student Grades Tracker

Build a CLI app to record and visualize student scores using Pandas, with proper GitHub version control.

Weather Dashboard

Fetch real-time weather from OpenWeather API, store in CSV, and plot trends using Matplotlib/Seaborn.

Sales Report Generator

Load raw CSV data into SQL DB, generate three key reports, and export results to Excel/PDF.

Exploratory Data Analysis (EDA)

Clean, visualize, and extract insights from C-level data on Kaggle or public datasets.

Student Performance Prediction

Use demographics and study hours to predict exam scores with regression techniques.

Spam Email Detector (NLP-lite)

Classify emails as spam/ham using text preprocessing and basic NLP.

View More
Get the complete course details in our brochure.

Discover all the essential information about our courses in our detailed brochure. Get insights on curriculum, schedules, and enrollment options to help you make the best choice for your education.

Ready to Start Your Data Analytics Journey?

Join LaunchPad Web Dev to master full-stack development from front to back! Learn ReactJS, Java, and backend frameworks like Node.js or Spring Boot, sharpen your DSA & System Design skills, and build industry-ready applications, all while integrating AI into real-world projects to stay ahead in the next wave of tech innovation.

Monthly EMI options upto (24) Months
Monthly EMI options upto (24) Months

Flexible monthly EMI plans available for up to 24 months.

Modes of Payment ( UPI, Cards, Wallet, Net Banking)
Modes of Payment ( UPI, Cards, Wallet, Net Banking)

Explore the various modes of payment available today: UPI for instant transfers, cards for secure transactions, wallets for convenience, and net banking for easy online management. Each option offers unique benefits to suit your needs.

Course Fees

80,000

Final pricing refers to the last and definitive cost of a product or service, including all applicable fees and discounts.

Includes:

  • Live sessions
  • Recorded videos
  • Study material / PDFs
  • Assignments & projects
  • 1:1 mentorship / doubt sessions
  • Certification upon completion