DATA SCIENCE COURSE

 

Data Science Course in Hyderabad – Chandra Trainings

Learn Data Science with Python, Machine Learning, and Real-Time Projects

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.


✅ Why Choose Chandra Trainings for Data Science?

  • ✅ 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


📘 Data Science Course Syllabus

Our data science syllabus is carefully designed to match current industry needs and hiring trends.


🔹 Module 1: Introduction to Data Science

  • What is Data Science?

  • Role of a Data Scientist

  • Applications in Real Life

  • Overview of Data Science Tools


🔹 Module 2: Python for Data Science

  • Python Basics (Variables, Data Types, Loops, Functions)

  • Numpy – Numerical Computation

  • Pandas – Data Analysis & DataFrames

  • Matplotlib & Seaborn – Data Visualization

  • Working with JSON, CSV, Excel Files


🔹 Module 3: Statistics & Probability

  • Descriptive Statistics (Mean, Median, Mode, SD)

  • Probability Theory & Distributions

  • Hypothesis Testing

  • Correlation & Covariance

  • Inferential Statistics


🔹 Module 4: Data Preprocessing & Cleaning

  • Handling Missing Data

  • Outlier Detection

  • Data Normalization & Scaling

  • Feature Encoding (Label, One-Hot)

  • Data Transformation Techniques


🔹 Module 5: Exploratory Data Analysis (EDA)

  • Univariate, Bivariate, Multivariate Analysis

  • Visual EDA using Matplotlib, Seaborn

  • Finding Patterns & Insights


🔹 Module 6: Machine Learning (Supervised Learning)

  • 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)


🔹 Module 7: Machine Learning (Unsupervised Learning)

  • Clustering – K-Means, Hierarchical

  • Dimensionality Reduction – PCA

  • Association Rules – Apriori, Eclat


🔹 Module 8: Time Series Analysis (Optional)

  • Date-Time Functions in Python

  • Forecasting Models (ARIMA, SARIMA)

  • Rolling Mean, Seasonality, Trend Analysis


🔹 Module 9: SQL for Data Science

  • Writing Queries, Joins, Group By

  • Subqueries, Views, Functions

  • Data Extraction & Aggregation


🔹 Module 10: Tools & Projects

  • Tools: Jupyter Notebook, Google Colab, GitHub

  • Projects:

    • Sales Forecasting

    • Customer Segmentation

    • Fraud Detection

    • Sentiment Analysis using NLP


🔹 Module 11: Capstone Project & Portfolio Building

  • End-to-End Real-Time Project

  • Deployment (Optional using Streamlit or Flask)

  • GitHub Portfolio & Resume Review


🛠️ Tools & Technologies Covered

  • Python

  • Pandas, NumPy, Scikit-Learn

  • Matplotlib, Seaborn

  • SQL

  • Jupyter Notebook

  • Git & GitHub

  • Google Colab


🎯 Who Should Join This Data Science Course?

  • 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


💼 Career Opportunities After This Course

  • Data Scientist

  • Data Analyst

  • Business Analyst

  • Machine Learning Engineer

  • Research Analyst

  • AI/ML Consultant


📍 Course Details – Data Science Training in Hyderabad

  • 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)

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