Digital Regenesys
Data Science
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Anaconda Installation
Data Science Interview Questions
Data Science Datasets
Module 1
Episode 1: Welcome message
Episode 2: Data and Information concepts
Knowledge Check 1
Episode 3: Business Intelligence and Data Science
Episode 4: Process of Data science
Knowledge Check 2
Episode 5: Career aspects and challenges for a data scientist
Episode 6: Mathematical and statistical concept explanation
Knowledge Check 3
Episode 7: Descriptive statistics -Mean Mode Median and central tendency
Knowledge Check 4
Episode 8: Descriptive Statistics variance,std deviation and Interquartile range
Knowledge Check 5
Episode 9: Probability in statistics
Episode 10: Understanding Guassian Distribution, Zscores In Inferential Statistics
Episode 11: Z-test in Inferential Statistics
Knowledge Check 6
Episode 12: T test in Inferential Statistics
Knowledge Check 7
Episode 13: Corelation Coefficient in Inferential Statistics
Episode 14: Chi-Square test in Inferential Satistics
Episode 15: Data Preprocessing
Knowledge Check 8
Episode 16: Numpy and Pandas series
Knowledge Check 9
Episode 17: Data visualization
Knowledge Check 10
Data Science Quiz 1
Module 2
Episode 18: Supervised Learning ,Regression
Knowledge Check 11
Episode 19: Supervised Learning Classification concept and Decision tree classifier
Knowledge Check 12
Episode 20: Unsupervised Learning ,clustering
Episode 21: Introduction to Data Science - K Means Clustering Part 1
Episode 22: Introduction to Data Science - K Means Clustering Part 2
Episode 23: Introduction to Data Science_ Data science in sales
Episode 24: Introduction to Data Science_ Accuracy, MSE, RMSE, RSquare, Seaborn Library
Knowledge Check 13
Episode 25: Metrics evaluation and confusion metrics
Knowledge Check 14
Episode 26: Introduction to Data Science_ Precision, Recall, F1 score, Classification report
Knowledge Check 15
Episode 27: Data Science in Data Driven Decision Making
Knowledge Check
Data Science Quiz 2
Final Quiz
Final Quiz
Certificate
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Data Science - Self-Paced
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Data Science - Self-Paced
Summary
Data Science
Course Duration in Hours
:
16
Skill Level
:
Beginner