Course Overview:
The Full Stack Data Science Online Instructor-Led Course is an immersive and comprehensive program designed for individuals aspiring to become proficient data scientists capable of handling the end-to-end data science process. From data acquisition and preprocessing to model building, deployment, and interpretation, this course covers the entire data science lifecycle. Delivered through online instructor-led sessions, participants will gain theoretical knowledge, hands-on skills, and real-world application experience.
Curriculum
- 2 Sections
- 38 Lessons
- 10 Weeks
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- Full Stack Data Science Course27
- 1.1What is Machine Learning, Types of Machine Learning?
- 1.2Introduction to Data Science
- 1.3What is Statistics?
- 1.4Descriptive Statistics
- 1.5Median
- 1.6Measures of Dispersion
- 1.7Coefficient of Variation
- 1.8Chebyshev’s Theorem
- 1.9Shape of the Distribution
- 1.10Skewed Distribution
- 1.11Uniform Distribution
- 1.12Bimodal Distribution
- 1.13Percentiles
- 1.14Kurtosis
- 1.15Quiz-Uniform / Skewed Distribution
- 1.16inferential Statistics
- 1.17Sampling Distribution
- 1.18Types of Sampling Techniques
- 1.19Confidence Interval
- 1.20Sampling-Distribution
- 1.21Hypothesis Testing
- 1.22One Sample z-Test Quizzes15 Minutes6 Questions
- 1.23Descriptive Statistics Assignments
- 1.24Protected: Descriptive Statistics Assignments with Answers
- 1.25Inferential Statistics Assignments
- 1.26Protected: Inferential Statistics Assignments with Answers
- 1.27Paired T-Test Case Study
- Python Course12