Unlock your career in tech with the best Data Science course in Hyderabad at Chandra Trainings. This comprehensive, hands-on training program is designed for both beginners and professionals, helping you master the tools, techniques, and mindset of a real data scientist.
✅ Industry-Expert Trainers with Real-Time Project Experience
✅ Python-Based Curriculum with ML, SQL, and Visualization Tools
✅ 100% Practical Training with Case Studies
✅ Resume Building & Interview Preparation
✅ Career Guidance & Placement Support
✅ Online & Classroom Batches Available
Our data science syllabus is carefully designed to match current industry needs and hiring trends.
What is Data Science?
Role of a Data Scientist
Applications in Real Life
Overview of Data Science Tools
Python Basics (Variables, Data Types, Loops, Functions)
Numpy – Numerical Computation
Pandas – Data Analysis & DataFrames
Matplotlib & Seaborn – Data Visualization
Working with JSON, CSV, Excel Files
Descriptive Statistics (Mean, Median, Mode, SD)
Probability Theory & Distributions
Hypothesis Testing
Correlation & Covariance
Inferential Statistics
Handling Missing Data
Outlier Detection
Data Normalization & Scaling
Feature Encoding (Label, One-Hot)
Data Transformation Techniques
Univariate, Bivariate, Multivariate Analysis
Visual EDA using Matplotlib, Seaborn
Finding Patterns & Insights
Introduction to ML Concepts
Linear Regression, Logistic Regression
Decision Trees, Random Forest
K-Nearest Neighbors (KNN)
Support Vector Machines (SVM)
Model Evaluation (Confusion Matrix, ROC-AUC, Accuracy)
Clustering – K-Means, Hierarchical
Dimensionality Reduction – PCA
Association Rules – Apriori, Eclat
Date-Time Functions in Python
Forecasting Models (ARIMA, SARIMA)
Rolling Mean, Seasonality, Trend Analysis
Writing Queries, Joins, Group By
Subqueries, Views, Functions
Data Extraction & Aggregation
Tools: Jupyter Notebook, Google Colab, GitHub
Projects:
Sales Forecasting
Customer Segmentation
Fraud Detection
Sentiment Analysis using NLP
End-to-End Real-Time Project
Deployment (Optional using Streamlit or Flask)
GitHub Portfolio & Resume Review
Python
Pandas, NumPy, Scikit-Learn
Matplotlib, Seaborn
SQL
Jupyter Notebook
Git & GitHub
Google Colab
Freshers and Graduates from Any Background
Working Professionals from IT, Finance, Healthcare, etc.
Python Learners Wanting to Move into Data Science
Engineers, Analysts, and Managers Looking to Upskill
Data Scientist
Data Analyst
Business Analyst
Machine Learning Engineer
Research Analyst
AI/ML Consultant
Duration: 10 Weeks (Regular), 6 Weeks (Fast-Track)
Mode: Classroom & Online Training
Certificate: Course Completion Certificate Provided
Placement Support: Yes (Mock Interviews, Resume Help, Job Alerts)