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Classroom Contents
Data Science Full Course with SQL and Python for Beginners
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- 1 Introduction
- 2 What is Data Science
- 3 Data Science Life Cycle
- 4 Data Analyst vs Data Scientist vs Data Engineer
- 5 Numpy
- 6 Creating and Intializing Numpy Array
- 7 Numpy Shape
- 8 Joinig Numpy arrays
- 9 Numpy Intersection and Differences
- 10 Numpy Array Mathematics
- 11 Numpy Matrix
- 12 Numpy Matrix Transpose and Multiplication
- 13 Numpy Save and Load
- 14 Pandas
- 15 Pandas Series Object
- 16 Changing Index
- 17 Series object from Dictionary
- 18 Extracting Individual Elements
- 19 Pandas Dataframe
- 20 Creating a Dataframe
- 21 Dataframe In-build Function
- 22 .iloc and loc function
- 23 Dropping Columns
- 24 Dropping rows
- 25 Matplotlib
- 26 Line plot
- 27 Bar plot
- 28 Scatter Plot
- 29 Histogram
- 30 Seaborn Line Plot
- 31 Seaborn Bar Plot
- 32 Seaborn Scatter Plot
- 33 Seaborn Histogram/ Distplot
- 34 Types of Statistical Analysis
- 35 Inferential Statistics
- 36 Descriptive Statistics
- 37 Measures of Central Tendency
- 38 Measures of Variability
- 39 Measures of Relationship
- 40 Measures of Skewness
- 41 Analysis of Variance
- 42 ANOVA Define
- 43 Grand Mean
- 44 F-Ratio
- 45 Hypothesis Testing
- 46 Types of Hypothesis Testing
- 47 Important Terms in Hypothesis Testing
- 48 ANOVA vs.T-test
- 49 Applications of ANOVA Test
- 50 Machine Learning
- 51 Supervised Learning
- 52 Unsupervised Learning
- 53 Reinforcement Learning
- 54 Clustering
- 55 Examples of Clustering
- 56 Need of Clustering
- 57 Types of Clustering
- 58 K-Means Clustering
- 59 Applications of K-means
- 60 Deciding value of K
- 61 Elbow Method
- 62 Implementation of K-means Clustering
- 63 Regression
- 64 Use case of Regression
- 65 Linear Regression
- 66 Multi Linear Regression
- 67 Types of Linear Regression
- 68 Demo - Simple Linear Regression
- 69 Demo- Multiple Linear Regression
- 70 Logistic Regression
- 71 Use Cases of Logistic Regression and its Demo
- 72 Installing MySQL
- 73 DML Command
- 74 DCL Command
- 75 TCL Commands
- 76 Joins in MySQL
- 77 INNER Join
- 78 Full Join
- 79 SELF Join
- 80 Subquery and Types
- 81 Demo on Subqueries
- 82 ALL Operators
- 83 Need of Gen AI in Data Science
- 84 Projects on Data Science
- 85 Top Data Science Interview Questions
- 86 Summary
