Course Overview: Dive into the world of data-driven decision-making with TalentPathProdigy’s Data Science and Analytics course. From mastering data wrangling techniques to conducting advanced analytics using powerful tools like Python and R, this course equips participants with the skills needed to extract meaningful insights from complex datasets.
Module 1: Introduction to Data Science
- Understanding the role of data science in decision-making
- Overview of key concepts and terminology
- Introduction to the data science lifecycle
Module 2: Data Wrangling
- Cleaning and preprocessing data for analysis
- Exploratory data analysis (EDA) techniques
- Handling missing data and outliers
Module 3: Statistical Analysis with Python and R
- Introduction to statistical analysis
- Application of statistical methods using Python and R
- Interpreting and communicating statistical results
Module 4: Machine Learning Fundamentals
- Overview of machine learning concepts
- Supervised and unsupervised learning techniques
- Model evaluation and selection
Module 5: Advanced Analytics and Visualization
- Advanced analytics using Python and R
- Data visualization principles and tools
- Communicating insights through compelling visualizations
Practical Projects: Engage in hands-on projects including data wrangling exercises, statistical analysis using Python and R, machine learning model development, and advanced analytics with visualization.
Assessment:
- Continuous assessment through practical projects
- Machine learning model development and evaluation
- Final project demonstrating advanced analytics and visualization skills
Certification: Upon successful completion, participants undergo a two-step certification process involving coursework completion and a comprehensive assessment, ensuring a thorough understanding and practical application of data science and analytics concepts.
Course Fees and Inquiries: For information on course fees or any inquiries, please feel free to contact us at info@talentpathprodigy.com.
