Masterclass Certificate in Data Science for Portfolios
-- viewing nowThe Masterclass Certificate in Data Science for Portfolios is a comprehensive course designed to equip learners with essential data science skills in high demand by industries worldwide. This program covers a broad range of topics, including machine learning, data visualization, and statistical analysis, using popular tools such as Python, R, and Tableau.
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Course Details
• Unit 1: Introduction to Data Science & Portfolios
• Unit 2: Data Wrangling & Pre-processing
• Unit 3: Exploratory Data Analysis (EDA) & Visualization
• Unit 4: Statistical Analysis & Hypothesis Testing
• Unit 5: Machine Learning Fundamentals
• Unit 6: Advanced Machine Learning Techniques
• Unit 7: Deep Learning & Neural Networks
• Unit 8: Big Data Processing with Hadoop & Spark
• Unit 9: Data Science Project Management & Communication
• Unit 10: Building a Data Science Portfolio & Interview Preparation
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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