Data Science Training in Hyderabad & Online | Job-Oriented Program with Real-Time Projects
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This course is also available as offline classroom training in Hyderabad with hands-on practical sessions and instructor guidance.
Master Data Science with T-MaxEdTech’s industry-focused training program designed to make you job-ready. This course covers Python, data analysis, statistics, machine learning, and visualization techniques used by top companies.
Gain hands-on experience by working with real-time datasets and building predictive models. Learn how to extract insights, make data-driven decisions, and solve business problems using modern data science tools.
👉 Online Live Training Available Across India
👉 Offline Classroom Training Available Only in Hyderabad (HITEC City)
👉 100% Job-Oriented Curriculum + Placement Assistance
WHY CHOOSE THIS COURSE?
✔️ Industry-Relevant Data Science Curriculum
✔️ Real-Time Projects with Datasets
✔️ Hands-On Practical Learning
✔️ Live Instructor-Led Online Training
✔️ Classroom Training in Hyderabad (HITEC City)
✔️ Resume Building & Interview Preparation
✔️ Placement Assistance Support
TOOLS & TECHNOLOGIES COVERED
- Python Programming
- NumPy & Pandas
- Matplotlib & Seaborn
- Scikit-learn
- SQL
- Excel
- Statistics & Probability
- Machine Learning Algorithms
- Jupyter Notebook
- Any Degree,
- BE/B.Tech
- 10 Sections
- 40 Lessons
- Lifetime
- Module 1: Introduction to Data ScienceUnderstand the fundamentals of data science, lifecycle, and real-world applications across industries.4
- Module 2: Python for Data ScienceLearn Python programming required for data science including data structures and libraries.4
- Module 3: Data Analysis & VisualizationLearn how to analyze and visualize data to extract meaningful insights using Python libraries.4
- Module 4: Statistics & ProbabilityUnderstand statistical concepts required for data analysis and machine learning.4
- Module 5: SQL & Data HandlingLearn SQL to manage and query structured data efficiently.4
- Module 6: Machine LearningLearn machine learning algorithms for prediction and data modeling.4
- Module 7: Model Evaluation & OptimizationUnderstand how to evaluate and improve machine learning model performance.4
- Module 8: Real-Time ProjectsWork on real-world datasets and build predictive models for practical applications.4
- Module 9: Data Visualization ToolsLearn advanced visualization techniques to present data insights effectively.4
- Module 10: Case Studies & Deployment BasicsUnderstand how data science is applied in real industries and learn basics of deployment.4
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