Course Description
Produced Exclusively for DASCA by John Wiley, USA
Course curriculum

1
Lesson 1

11 Anaconda

12 Data Types with Python

13 Basic Operators and Functions

14 Key Takeaways


2
Lesson 2

21 Introduction to Numpy

22 Demo 01creating and Printing an Ndarray

23 Basic Operations

24 Mathematical Functions of Numpy

25 Assignment 01 Demo

26 Assignment 02 Demo

27 Key Takeaways


3
Lesson 3

31 Introduction to Scipy_2

32 Demo 01creating and Printing an Ndarray_2

33 Demo  Calculate Eigenvalues and Eigenvector

34 Scipy Sub Package  Statistics, Weave and Io

35 Assignment 01 Demo

36 Assignment 02 Demo

37 Key Takeaways


4
Lesson 4

41 Introduction to Pandas

42 Understanding Dataframe

43 View and Select Data Demo

44 Missing Values

45 Data Operations

46 File Read and Write Support

47 Pandas Sql Operation

48 Assignment 01 Demo

49 Assignment 02 Demo

410 Key Takeaways


5
Lesson 5

51 Machine Learning Approach

52 Steps 1 and 2

53 How It Works

54 Steps 3 and 4

55 Supervised Learning Model Considerations

56 Scikitlearn

57 Supervised Learning Models  Linear Regression

58 Supervised Learning Models  Logistic Regression

59 Unsupervised Learning Models

510 Pipeline_1

511 Model Persistence and Evaluation

512 Assignment 01

513 Assignment 02

514 Key Takeaways


6
Lesson 6

61 Introduction to Data Visualizationmp4_1

62 (x,y) Plot and Subplots

63 Types of Plots

64 Assignment 01 Demo

65 Assignment 02 Demo

66 Key Takeaways


7
Lesson 7

71 Web Scraping and Parsing_1_1

72 Navigating a Tree

73 Modifying Tree

74 Parsing and Printing the Document

75 Key Takeaways


8
Lesson 8

81 Why Big Data Solutions Are Provided for Python

82 Python Integration with Hdfs Using Hadoop Streaming

83 Using Hadoop Streaming for Calculating Word Count_1_1

84 Python Integration with Spark Using Pyspark

85 Using Pyspark to Determine Word Count

86 Assignment 01 Demo

87 Assignment 02 Demo

88 Key Takeaways
