Python and Pandas for Data Manipulation Online Training

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Jonathan Barrios

17:10:39

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1. Python and Pandas for Data Manipulation Installation and Setup

1. Introduction.mp4

03:24

2. What is Pandas.mp4

08:45

3. What is Jupyter Notebook.mp4

05:40

4. Anaconda Installation.mp4

10:52

5. Conda Environments.mp4

07:04

6. Challenge.mp4

14:47

2. Python and Pandas for Data Manipulation Jupyter Notebook

7. Introduction.mp4

02:49

8. Brief History.mp4

06:56

9. User Interface.mp4

15:19

10. Data Types Review.mp4

06:07

11. Cell Types.mp4

07:32

12. Shortcuts.mp4

04:03

3. Python and Pandas for Data Manipulation Series Introduction

13. Introduction.mp4

02:25

14. Create a Series from a List.mp4

08:46

15. Create a Series from a Dictionary.mp4

04:40

16. Read CSV files.mp4

12:26

17. Read Excel files.mp4

07:05

18. Head and Tail Functions.mp4

05:43

19. Series Attributes.mp4

04:41

20. Series Methods.mp4

04:31

4. Python and Pandas for Data Manipulation Series Basics

21. Introduction.mp4

00:55

22. The In Keyword.mp4

07:12

23. Extract by Position.mp4

07:31

24. Extract by Label.mp4

16:27

25. The get() Method.mp4

09:43

26. Math methods.mp4

08:02

27. The idxmin() and idxmax() Methods.mp4

04:12

28. Unique Values.mp4

05:51

29. The apply() Method.mp4

06:21

5. Python and Pandas for Data Manipulation DataFrame Cleaning

30. Introduction.mp4

01:25

31. Handling null values.mp4

07:19

32. Drop null values.mp4

14:54

33. Impute missing values.mp4

07:09

34. Value counts for DataFrames.mp4

06:00

35. Detect null and not null values.mp4

06:55

6. Python and Pandas for Data Manipulation Filtering Data

36. Introduction.mp4

02:17

37. Optimization.mp4

14:27

38. Conditional Filtering.mp4

20:49

39. Filtering with AND and OR.mp4

18:25

40. Inclusion Method.mp4

08:14

7. Python and Pandas for Data Manipulation Extraction Methods

41. Introduction.mp4

01:26

42. The Drop Method.mp4

10:01

43. Returning Smallest and Largest Values.mp4

10:59

44. The Where Method.mp4

08:19

45. The Query Method.mp4

10:23

46. The Copy Method.mp4

10:23

8. Python and Pandas for Data Manipulation Text Data Basics

47. Introduction.mp4

01:10

48. Manipulating Text Data.mp4

14:37

49. String Methods.mp4

14:38

50. The Replace String Method.mp4

15:26

51. Filtering String Methods.mp4

12:03

9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data

52. Strip Strings.mp4

21:34

53. Column and Index Methods.mp4

07:26

54. Splitting Strings.mp4

08:11

55. More Splitting.mp4

08:33

10. Python and Pandas for Data Manipulation Grouping

56. Introduction.mp4

01:20

57. Grouping.mp4

10:42

58. Group by Operations.mp4

12:02

59. Get group Method.mp4

09:44

60. The Group by Methods.mp4

13:32

11. Python and Pandas for Data Manipulation Combining DataFrames

61. Introduction.mp4

03:22

62. Combining DataFrame.mp4

08:07

63. Concatenation.mp4

21:15

64. Inner Joins.mp4

14:11

65. Outer Joins.mp4

05:56

12. Python and Pandas for Data Manipulation Times Series Data

66. DatetimeIndex.mp4

06:28

67. The to datetime Method.mp4

11:08

13. Python and Pandas for Data Manipulation Date Ranges

68. Introduction.mp4

01:07

69. Date Ranges Part 1 Video 1-A.mp4

09:04

70. Date Ranges Part 1 Video 1-B.mp4

12:56

71. Date Ranges Part 1 Video 1-C.mp4

06:27

72. Date Ranges Part 2.mp4

15:22

73. Date Ranges Part 3.mp4

08:35

74. The dt Accessor.mp4

12:44

14. Python and Pandas for Data Manipulation DataReader

75. Introduction And Setup.mp4

08:43

76. Reading Cryptocurrency Data.mp4

17:01

77. Selecting Datetime Rows.mp4

12:58

78. Timestamp Attributes And Methods.mp4

13:24

15. Python and Pandas for Data Manipulation Visualization

79. Introduction.mp4

02:19

80. Matplotlib And PyPlot.mp4

09:20

81. Visualizing Cryptocurrencies.mp4

23:11

82. Customizing Visualizations.mp4

15:37

83. Creating Charts.mp4

13:27

16. Python and Pandas for Data Manipulation Series Attributes and Methods

84. Introduction.mp4

00:56

85. Parameter and Arguments.mp4

09:51

86. Sort Values.mp4

08:28

87. Series Attributes.mp4

09:01

88. Series Methods.mp4

08:28

89. Inplace Mutation.mp4

07:43

17. Python and Pandas for Data Manipulation DataFrame Introduction

90. DataFrame Introduction.mp4

11:05

91, Series shared attributes.mp4

07:46

92. Shared methods.mp4

09:05

93. Extracting columns.mp4

06:10

94. Extracting two or more columns.mp4

05:58

95. Adding columns.mp4

07:24

96. Broadcasting Operations.mp4

07:55

97. DataFrames value counts( ).mp4

06:17

18. Python and Pandas for Data Manipulation DataFrame Sorting

98. Introduction.mp4

01:11

99. Changing data types.mp4

16:51

100. Sorting values.mp4

17:26

101. Sort by indices.mp4

05:23

102. Ranking a Series.mp4

14:39

19. Python and Pandas for Data Manipulation Filtering Duplicates

103. Introduction.mp4

01:34

104. Checking for Duplicates.mp4

10:22

105. Drop Duplicates.mp4

10:04

106. Unique Values.mp4

06:12

107. Inclusion with between().mp4

11:00

20. Python and Pandas for Data Manipulation Extracting Values

108. Introduction.mp4

01:09

109. Setting and Resetting Indices.mp4

14:17

110. Extraction with loc.mp4

14:44

111. Extraction with iloc.mp4

14:00

112. Setting New Values.mp4

04:56

113. Set Multiple Values.mp4

07:50

Description

This intermediate Python and Pandas for Data Manipulation training prepares data practitioners to manipulate and analyze data coming in from multiple sources, big and small, with Pandas.

If it’s your first time stumbling across the name of the Python library that’s used in econometrics for multidimensional structured data set conversion, you should know that Pandas is a deceptively cute name for a really, really powerful data analysis and manipulation tool. If you’re using Python to analyze data, Pandas is arguably the only tool for data munging – transforming raw data into a different format so that it’s more useful.

More details

After this Pandas course, youâ€™ll be selecting, filtering, sorting, cleaning and combining your data quickly and easily.

For anyone who leads an IT team, this open source training can be used to onboard new data practitioners, curated into individual or team training plans, or as an open source reference resource.

Python and Pandas for Data Manipulation: What You Need to Know

This Python and Pandas for Data Manipulation training has videos that cover topics such as:

Extracting meaning from numbers
Managing large data sources and extracting the right data from them
Importing, cleaning, and calculating statistics
Visualizing data and making smarter decisions

Who Should Take Python and Pandas for Data Manipulation Training?

This Python and Pandas for Data Manipulation training is considered associate-level open source training, which means it was designed for data analysts. This Python skills course is valuable for new IT professionals with at least a year of experience with data science and experienced data practitioners looking to validate their data skills.

New or aspiring data practitioners. Thereâ€™s almost no time in your data science or data analysis career thatâ€™s too early to take Pandas training. Of course, itâ€™s important to learn the fundamentals first without skipping ahead to advanced tools. But as this Pandas course shows, data manipulation and importing isnâ€™t just easier â€“ in some cases, itâ€™s only possible â€“ with Pandas.

Experienced data practitioners. If youâ€™ve been working with data for several years already, youâ€™ve probably seen some of the things Pandas can do. Maybe you didnâ€™t even realize it when you saw them, but Pandas and DataFrames make it possible to extract, filter and transform real-world data at an otherworldly level. This course shows you how to use Pandas and advance your data career.

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Python

Pandas

Jonathan Barrios

Instructor's Courses

"Helping aspiring data professionals learn about data and seeing them succeed is one of my greatest passions as a trainer. I love to learn, share my knowledge, and help others succeed—this is why I am passionate about being a trainer at CBT Nuggets."

Jonathan started his career as a full-stack developer and quickly became interested in combining his online education experience with his data science and machine learning knowledge. Jonathan has been a programmer, data analytics instructor, and curriculum writer for several leading online education platforms is excited to share his skills and education experience with aspiring data practitioners at CBT Nuggets.

Certifications: None

Areas of expertise: Full-stack software development, data analytics, data science, machine learning, and cloud technologies such as AWS and Google Cloud. HTML, CSS, JavaScript, PHP, Python, SQL, NoSQL, and frameworks/libraries such as Laravel, Vue, Tailwind, React, Gatsby, Django, NumPy, pandas, Matplotlilb, Scrappy, BeautifulSoup, SciPy, Seaborn, Plotly, Scikit-learn, Tensorflow, and PySpark.

CBT Nuggets

View courses CBT Nuggets

CBT Nuggets is renowned for providing innovative training that's informative, meaningful, and engaging. We provide a variety of training, primarily in IT, project management, and office productivity topics. Our comprehensive library contains thousands of training videos ranging from Cisco networking to Microsoft Word. Whether you want to pass a certification exam, increase your skills, or simply learn new things, we've got you covered! All of our training is delivered through high-quality online streaming video. Subscribers can train 24 hours a day, seven days a week, from the convenience of a computer or mobile device. CBT Nuggets trainers are the rock stars of training, renowned for their expertise, industry-wide credibility, and engaging personalities. They enable CBT Nuggets to deliver accurate, up-to-date training, using a laid-back whiteboard presentation style. There are no scripts, EVER. Our trainers love to teach, and it shows! CEO and founder Dan Charbonneau was a Microsoft trainer when he began recording CBT Nuggets' very first training videos back in the 1990s. He wanted to help provide large organizations, small teams and individuals with comprehensive and budget-conscious training, and he realized it couldn't be done in a classroom. From the CBT Nuggets World Headquarters in Eugene, Oregon, Dan and his team promise each video will be informative, comprehensive, accurate, and fun to watch.