Data Science – ML, DL

Data Science

📊 Overview

Data Science is one of the most in-demand and rapidly growing fields of the 21st century. It combines mathematics, statistics, computer science, and domain knowledge to extract meaningful insights from data. With organizations producing huge volumes of data every day, Data Science helps them make smarter business decisions, create innovative products, and improve customer experiences.

From recommendation systems on Netflix, fraud detection in banking, to predictive healthcare solutions, Data Science is powering the technologies of tomorrow.

📖 Description

The Data Science course at iSignal Academy is designed to give learners a 360° understanding of the data ecosystem. You’ll gain expertise in data collection, cleaning, analysis, visualization, and machine learning techniques.

Through a hands-on approach with real-world projects, you’ll learn to:

  • Work with Python, SQL, Excel, and R for data analysis
  • Perform Exploratory Data Analysis (EDA) and visualize data with Matplotlib, Seaborn, Power BI/Tableau
  • Apply statistical methods and machine learning algorithms for predictive modeling
  • Manage and process big data using Hadoop/Spark
  • Deploy end-to-end data-driven solutions

This course is beginner-friendly yet detailed enough for professionals who want to transition into Data Analytics, Business Intelligence, or Machine Learning careers.

🚀 Build Your Programming Foundation. Secure Your IT Career.

Career Opportunities:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • AI/ML Researcher
  • Data Engineer
  • Big Data Specialist
  • Research & Development Roles in AI, FinTech, Healthcare, and IoT

🔹 Course Fee: INR 14,999/- (Limited Time Offer: Flat 20% OFF for first 30 enrolments → INR 11,999/- only)

🎯iSignal Academy Benefits

✔ Hands-on Projects & Real-time Assignments

✔ Expert Trainers & Industry Veterans

✔ Affordable Fees with Flexible Learning Modes

✔ Placement Assistance & Interview Preparation

✔ Industry-Accredited Certification

🔹 Course Duration

📅 8 Weeks (Weekend/Weekday Batches)

⏰ 40+ Hours of Instructor-Led Training + Assignments + Projects

Module 1: Foundations of Data Science
  • What is Data Science?
  • Lifecycle of a Data Science Project
  • Role of a Data Scientist vs. Data Analyst vs. ML Engineer
  • Applications in Healthcare, Finance, Retail, Telecom, and IT
Module 2: Python for Data Science
  • Python Basics – Variables, Functions, Loops, Data Types
  • Working with Libraries – NumPy, Pandas
  • Data Manipulation & Cleaning with Pandas
  • Data Visualization using Matplotlib & Seaborn
Module 3: Statistics & Probability
  • Descriptive vs. Inferential Statistics
  • Probability & Distributions (Normal, Binomial, Poisson)
  • Correlation, Covariance & Regression Basics
  • Hypothesis Testing (T-test, Chi-Square, ANOVA)
Module 4: Data Preprocessing & Wrangling
  • Handling Missing Data & Outliers
  • Feature Engineering & Selection
  • Data Normalization & Scaling
  • Encoding Categorical Variables
Module 5: Machine Learning – Supervised Learning
  • Linear & Logistic Regression
  • Decision Trees, Random Forest
  • KNN, Naïve Bayes
  • Gradient Boosting (XGBoost, LightGBM)
  • Model Evaluation – Confusion Matrix, Precision, Recall, ROC
Module 6: Machine Learning – Unsupervised Learning
  • Clustering – K-Means, Hierarchical, DBSCAN
  • Dimensionality Reduction – PCA, t-SNE
  • Association Rule Mining
  • Recommendation Systems
Module 7: Deep Learning & AI Basics
  • Neural Networks – Perceptron, Feedforward, Backpropagation
  • Convolutional Neural Networks (CNNs) – Image Processing
  • Recurrent Neural Networks (RNNs) – Time Series & NLP Basics
  • TensorFlow & Keras Frameworks
Module 9: Data Visualization & BI Tools
  • Storytelling with Data
  • Dashboards using Tableau & Power BI
  • Building Interactive Business Reports
Module 10: Capstone Projects & Career Preparation
  • End-to-End Project in Retail/Healthcare/Finance
  • Deploying ML Models
  • Resume & LinkedIn Profile Building
  • Mock Interviews & Case Study Presentations
Why Choose Our Data Science Course?

✅ High-Paying Career: Data Scientists earn ₹6–12 LPA in India and $100k+ abroad.
✅ Industry-Relevant Curriculum: Covers Python, Machine Learning, Deep Learning, Big Data & Cloud.
✅ Hands-on Learning: Work with real-world datasets & capstone projects.
✅ Complete Tool Mastery: Excel, SQL, Python, Power BI, Tableau, TensorFlow, and more.
✅ Career Growth: Resume prep, mock interviews & placement support.
✅ Future-Ready Skills: Foundation for AI, Machine Learning, and Research Careers.

Career Path After the Course
  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Engineer
  • Business Intelligence Analyst

📈 Hiring Industries: IT, Banking, Healthcare, E-commerce, Telecom, Retail, Consulting

🎓 Course Highlights

📅 Duration: 6 Months (Instructor-Led Training)
💻 Mode: Online + Offline (Classroom Sessions)
🌐 Language: English
🏆 Badge: HackerRank 5-Star in C Language
🖥 Live Projects: 3 Real-Time Industry Projects
📜 Certification: Industry-Recognized Certificate
🤝 Career Support: Placement Guidance + Interview Preparation

🔥Features

📍 Live Instructor-Led Classes

📍 Real-Time Coding Assignments

📍 Internship & Placement Assistance

💰 Average Salary Package

Fresher / Junior (0–2 yrs): ₹6–10 LPA

Mid-level (2–5 yrs): ₹12–20 LPA

Senior / Specialist (5–10 yrs): ₹20–35 LPA

Get a free demo session for Data science send Hi to whats app 7829450444

Interested in our Training? Fill out the enquiry form and our team will get back to you with details on fees, schedules, and offers

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Sreeram Bugude

Founder & CEO, Wireless RAN Head of Strategy – 5G,6G, with iSignal Research, Bangalore, with nearly 18Yrs+ experience in Wireless Domain worked in Nokia, Intel, Samsung, Mediatek, Infosys, L&T, and wireless startups, delivered multiple Wireless webinars, FDPs, Workshops in institutes like IIT Patna, IIITDM, Kurnool. Being IEEE ComSoc Member He had presented multiple 4G/5G Solutions in various International conferences like India Mobile Congress, New Delhi. Currently he is involved in Next Generation 5G/6G Air Interface Research and Development of Proof of Concepts, along with activities like career enablement, Trainings, LabSetups, Consulting

Research Focus:

mmwave, Beamforming, CSI-Reporting,massiveMIMO, OTFS, 6G, AI, ML for wireless RAN, Resource Allocations, SDR, GNU Radio, Python, C++ based Simulations for 6G

For more details please connect over linkedin Professional

 Network: https://www.linkedin.com/in/sreeram5g/

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