Greatcoder-Best Software Training institute in Madhapur

Unlock the Future with Python-Powered Data Science & AI

In an era where data drives decisions, Data Science combined with Artificial Intelligence (AI) and Machine Learning (ML) has become a transformative force across industries. From predictive analytics to intelligent automation, the applications of AI & ML are vast and growing rapidly. At the heart of this revolution lies Python — a powerful, easy-to-learn language trusted by data professionals worldwide.

Python offers an extensive ecosystem of libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch, which empower professionals to clean data, build machine learning models, and implement deep learning solutions with ease. Coupled with tools like SQL for data querying and Power BI for visual storytelling, the learning path becomes both practical and industry-ready.

Why Data Science, AI & ML with Python is in High Demand

The surge in demand for Data Science and AI/ML professionals is driven by the increasing reliance on data for business decisions and innovation. Here’s why Python-based Data Science and AI/ML has become a top career choice:

Data-Driven Decision Making: Companies across industries rely on data insights to shape strategies, improve efficiency, and personalize customer experiences.
Python’s Simplicity & Power: Python’s clean syntax and powerful libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch make it the preferred language for data analysis and machine learning.

Automation & Intelligence: AI and ML enable businesses to automate tasks, predict outcomes, and create intelligent systems—making these skills highly valuable.
High Salary & Global Opportunities: With a growing skill gap in AI and ML, trained professionals enjoy high salaries and global job opportunities.

Course Content

Introduction to Python and IDEs (Jupyter, Anaconda).
Variables, Data Types, and Operators.
Conditional Statements and Loops.
Functions and Modules.
File Handling and Exception Handling.
Working with Libraries: NumPy, Pandas, Matplotlib, Seaborn.

Linear Algebra Basics (Vectors, Matrices, Eigenvalues)
Probability and Distributions
Descriptive & Inferential Statistics
Hypothesis Testing
Correlation and Regression Analysis

Data Cleaning and Preprocessing
Handling Missing Values and Outliers
Feature Engineering
Data Visualization Techniques
Case Studies using Real-World Datasets

Supervised vs Unsupervised Learning
Algorithms: Linear & Logistic Regression, Decision Trees, KNN, SVM, Naive Bayes
Clustering (K-Means, Hierarchical)
Model Evaluation Metrics (Confusion Matrix, ROC-AUC)
Cross-Validation and Hyperparameter Tuning

Introduction to Deep Learning.
Neural Network Architecture (ANN, CNN, RNN).
Activation Functions and Optimizers.
Using TensorFlow & Keras.
Building and Training Deep Learning Models

Text Preprocessing: Tokenization, Lemmatization, Stopwords
Bag of Words & TF-IDF
Sentiment Analysis
Named Entity Recognition (NER)
NLP with SpaCy and NLTK

Database Basics and Relationships
SQL Queries: SELECT, JOIN, GROUP BY, HAVING
Subqueries and Window Functions
Data Extraction and Transformation
Hands-on Practice with Real Datasets

Introduction to Power BI Interface
Connecting to Data Sources
Data Modeling and Transformation (Power Query)
Creating Interactive Dashboards
DAX for Custom Calculations
Publishing and Sharing Reports

End-to-End Project Implementation
Data Collection to Model Building
Deployment with Flask or Streamlit
Using GitHub & Heroku for Hosting
Capstone Projects & Resume Building Guidance

The Role of 100% Placement Assistance in Data Science & AI/ML Careers

Embarking on a career in Data Science, Artificial Intelligence, and Machine Learning is both exciting and ambitious. At Greatcoder Technologies Pvt Ltd, we not only equip you with industry-relevant technical skills, but also ensure you're job-ready with our comprehensive 100% placement assistance.
Here’s why our placement support is a game-changer for aspiring Data Scientists and AI/ML professionals:

Customized Training Our placement-oriented program goes beyond just theory. We offer hands-on training with real-time projects, focusing on: Python for Data Analysis Machine Learning Algorithms AI & Deep Learning Tools like SQL, Power BI, and NLP This targeted approach helps you build practical skills that the industry demands.
Resume Enhancement A well-crafted resume can open doors to top tech opportunities. We help you build a strong profile that highlights your: Technical expertise in ML, AI, and Data Visualization Projects and internship work Certifications and tools mastered
Interview Preparation Cracking a Data Science job interview requires both subject knowledge and confidence. Our support includes: Mock Interviews (Technical + HR) Aptitude and Coding Tests Interview Strategy and Feedback
Job Placement Support We are connected with hiring partners across startups, product companies, and MNCs. Our placement cell ensures: Regular interview calls Resume forwarding to relevant companies Role-matching based on your strengths and interests
Post-Placement Guidance The journey doesn’t end once you land your first job. We continue to support with: Mentorship from industry experts Guidance on role transitions and upskilling Help adjusting to corporate environments

In Conclusion

Data Science, AI & ML with Python is not just a trending career—it's the future. With real-time projects, expert mentoring, and 100% placement assistance from Greatcoder Technologies Pvt Ltd, you’ll be industry-ready in just a few months. Whether you're starting fresh or looking to upskill, now is the perfect time to step into this high-demand field.