TechPledge Certified Data Science H20 Bootcamp

• Lectures (PDF)
• Lab Manual (PDF)
• Recorded Video
• Xtream Lab / LOD Access
• Cloud Pass
• Project File

- Collect and clean data from various sources, such as databases, APIs, web scraping, etc.
- Explore and analyze data using descriptive and inferential statistics, data visualization, and other techniques.
- Build and test predictive models using machine learning algorithms, such as regression, classification, clustering, etc.
- Communicate and present the results and insights to stakeholders, such as managers, clients, or developers.
- Deploy and monitor the models in production environments, using tools such as cloud computing, containers, or pipelines.

• - Learn the fundamentals of data science with Python and R, two of the most popular programming languages for data analysis and visualization
• - Master the basics of SQL, a powerful language for querying and manipulating relational databases
• - Explore various data science tools and libraries, such as Anaconda, Spyder, RStudio, NumPy, pandas, Matplotlib, scikit-learn, and more
• - Apply statistical concepts and techniques to understand and interpret data, such as population and sample, moments, skewness and kurtosis, correlation analysis, probability distributions, hypothesis testing, etc.
• - Understand the principles and methods of machine learning, a branch of artificial intelligence that enables computers to learn from data and make predictions
• - Build and evaluate different types of machine learning models, such as regression, classification, clustering, dimensionality reduction, etc.
• - Create and communicate meaningful insights from data using data visualization techniques and tools
• - Work on real-world data science projects and challenges using Python, R, and SQL

Note: For detailed syllabus and lab , please book a demo or email us at info@techpledges.com.

Bootcamp Syllabus