Data Science
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
- Data Analysis: Cleaning, transforming, and modeling data to discover useful information and support decision-making.
- Machine Learning: Building and deploying predictive models using algorithms (e.g., regression, classification, clustering).
- Data Visualization: Communicating insights effectively using charts, graphs, and dashboards (Tableau, Power BI, Matplotlib).
Turn raw data into actionable insights using Python, R, SQL, and powerful machine learning libraries.
Course Highlights:
- Python programming fundamentals (Pandas, NumPy, Scikit-learn)
- Statistical analysis and hypothesis testing
- Data visualization with Matplotlib, Seaborn, and Plotly
- Machine Learning models: Linear Regression, K-Means, etc.
- Real-world projects using datasets from finance or healthcare
- Database querying with SQL for data extraction
- Introduction to Big Data fundamentals with Spark
Pushpendra Technology Pvt Ltd.
Innovate With Us
Launch Your Career
Cutting Edge Technology
Earnternship
Pushpendra Technology Pvt Ltd.
Innovate With Us
Launch Your Career
Cutting Edge Technology
Expert Mentorship
Ready to Launch Your Tech Career? Starts Here.
Don't miss this opportunity to accelerate your learning and contribute to exciting projects.