Data Science & Analytics Mastery Course

Course Highlights:

Module 1: Introduction to Data Science (4 hours)

• Understand the fundamentals and scope of data science.
• Explore real-world applications and case studies.
• Set up your environment for data science projects.

Module 2: Statistical Foundations (8 hours)

• Dive into key statistical concepts for data analysis.
• Explore probability, hypothesis testing, and regression analysis.
• Apply statistical methods to real-world datasets.

Module 3: Machine Learning Fundamentals (10 hours)

• Explore supervised and unsupervised learning techniques.
• Understand classification, regression, and clustering algorithms.
• Implement machine learning models using industry-standard tools.

Module 4: Data Visualization (6 hours)

• Master data visualization techniques for effective storytelling.
• Explore tools like Matplotlib, Seaborn, and Tableau.
• Create compelling visualizations to communicate insights.

Module 5: Big Data and Tools (8 hours)

• Understand the principles of big data analytics.
• Explore tools like Apache Spark and Hadoop.
• Gain hands-on experience with large-scale data processing.

Module 6: Final Project and Portfolio Development (4 hours)

• Apply data science and analytics skills to a comprehensive project.
• Create a professional portfolio showcasing your analytical projects.
• Receive feedback for continuous improvement.

Certification and Beyond

Upon successfully completing the Data Science & Analytics Mastery Course, you’ll receive a certification from Albatross Learnings, validating your proficiency in data science. Join us in shaping the future of data-driven decision-making – enrol today and embark on a journey of becoming a skilled data scientist.