Self-Paced Online

Pandas Bootcamp for Data Analysis

Pandas Bootcamp for Data Analysis: a self-paced PACI course with 140 lessons in 16 sections and a quiz after each section.

AI & Data Science
English language
Beginner

What you’ll learn

prerequiste lectures before python pandas
python pandas chapter 01
python pandes chapter 2
python pandes chapter 3
Python Pandas chapter 04
Python Pandas chapter 05

About this course

Pandas Bootcamp for Data Analysis is a self-paced recorded course from the Punjab Artificial Intelligence and Cybersecurity Initiative (PACI). It has 140 lessons in 16 sections (124 video lessons, 16 quizzes). What the course covers: - prerequiste lectures before python pandas - python pandas chapter 01 - python pandes chapter 2 - python pandes chapter 3 - Python Pandas chapter 04 - Python Pandas chapter 05 - Python Pandas chapter 06 - Python Pandas chapter 07 - Python Pandas chapter 08 - Python Pandas chapter 09 - Python Pandas chapter 10 - Python Pandas chapter 11 - Python Pandas chapter 12 - Python Pandas chapter 13 - and more

Course content

16 modules · 140 lessons

01section 1 prerequiste lectures before python pandas7 lessons

1 Python Introduction with Explanation
2 Variable in Python with Examples
3 Function in Python with Examples
4 List-Data Structure in Python
5. Dictionary-Data Structure in Python
6 Introduction to Pandas Library
Quiz

02section 2 python pandas chapter 017 lessons

7. 01 Pandas Chapter 01 Outlines
8. What is Pandas
9. 03 Where we can use Pandas
10. 04 What we can do with Pandas
11. 05 Pandas Installation
12. 06 Pandas Basic Program
Quiz

03Section 3 python pandes chapter 25 lessons

13. 01 Pandas Chapter 02 Outlines
14. 02 Series Data Structure
15. 03 DataFrame Data Strcuture
16. 04 Panel Data Structure
Quiz

04Section 4 python pandes chapter 323 lessons

17. 01 Chapter 03 Outlines for Pandas
18. 02 Series Creation with 5 Methods
19. 03 Indexing with Series
20. 04 Slicing with Series
21. 05 Arithmetics with Series
22. 06 Comparision with Series
23. 07 Aggregation with Series
24. 08 Filtering with Series
25. 09 All Attribues of Series
26. 10 head method with Series
27. 11 tail method with Series
28. 12 describe method with Series
29. 13 info method with Series
30. 14 mean method with Series
31. 15 sum method with Series
32. 16 unique method with Series
33. 17 value_counts method with Series
34. 18 sort_values method with Series
35. 19 apply method with Series
36. 20 fillna method with Series
37. 21 drop method with Series
38. 22 concat method with Series
Quiz

05Section 5. Python Pandas chapter 0421 lessons

39. 01 Chapter 04 Outlines for Pandas
40. 02 Methods to create DataFrame
41. 03 Select Add and Delete Column
42. 04 Select Add Delete Row
43. 05 Indexing and Slicing in DataFrame
44. 06 Arithmetic Operation with DataFrame
45. 07 Comparision Operations on DataFrame
46. 08 Aggregation with DataFrame
47. 09 Filtering in DataFrame
48. 10 Missing Data Handling in DataFrame
49. 11 Joining Method with DataFrame
50. 12 Sorting in DataFrame
51. 13 Attributes for DataFrame
52. 14 Head and Tail method in DF
53. 15 Describe and Info method with DF
54. 16 sort_values method with DF
55. 17 dropna Method with DF
56. 18 fillna and merge method with DF
57. 19 apply method with DF
58. 20 Panel in Pandas
Quiz

06Section 6. Python Pandas chapter 054 lessons

59. 01 Chapter 05 Outlines
60. 02 Descriptive Statistics in Pandas
61. 03 Descriptive Methods in Pandas
Quiz

07Section 7. Python Pandas chapter 066 lessons

62. 01 Pandas Chapter 06 Outlines
63. 02 Function Application in Pandas
64. 03 Element Wise Application
65. 04 Row or Column Wise Application
66. 05 Table wise Application
Quiz

08Section 8. Python Pandas chapter 0710 lessons

67. 01 Pandas Chapter 07 Outlines
68. 02 Reindexing in Pandas
69. 03 Iteration with items method
70. 04 Iteration with iterrows method
71. 05 Iteration with itertuples method
72. 06 Iteration in Pandas
73. 07 Sort Values in Pandas
74. 08 Sort Index in Pandas
75. 09 nlargest and nsmallest in Pandas
Quiz

09Section 9. Python Pandas chapter 0812 lessons

76. 01 Pandas Chapter 08 Outlines
77. 02 lower and upper method
78. 03 title and capatilize method
79. 04 swapecase method in Pandas
80. 05 strip lstrip rstrip in pandas
81. 06 join method in Pandas
82. 07 replace method in Pandas
83. 08 contains method in Pandas
84. 09 startswith and endswith in Pandas
85. 10 find and rfind in Pandas
86. 11 count and len Method in Pandas
Quiz

10Section 10. Python Pandas chapter 097 lessons

87. 01 Pandas Chapter 09 Outline
88. 02 Display Option in Pandas
89. 03 Customizing Data Types
90. 04 Data Cleaning
91. 05 Label integer and boolean based indexing
92. 06 Query Method in Pandas
Quiz

11Section 11. Python Pandas chapter 105 lessons

93. 01 Pandas Chapter 10 Outline
94. 02 Rolling Window in Pandas
95. 03 Rolling window functions in Pandas
96. 04 Expending Window in Pandas
Quiz

12Section 12. Python Pandas chapter 1110 lessons

97. 01 Pandas Chapter 11 Outline
98. 02 groupby Method in Pandas
99. 03 Aggregation on groupby in Pandas
100. 04 Aggregation Example with groupby
101. 05 Transformation on groupby in Pandas
102. 06 Transformation Example on groupby
103. 07 Filteration in Pandas
104. 01 Pandas Outline Chapter 12
105. 02 Pandas Categorical Data Introduction
Quiz

13Section 13. Python Pandas chapter 128 lessons

106. 03 Pandas Categorical Data Example
107. 01 Pandas Chapter 13 Outlin
108. 02 Lineplot in Pandas
109. 03 Barplot in Pandas
110. 04 Scatter plot in Pandas
111. 05 Boxplot in Pandas
112. 06 Area plot in Pandas
Quiz

14Section 14. Python Pandas chapter 138 lessons

113. 01 Pandas Chapter 14 Outline
114. 02 Reading CSV File with Pandas
115. 03 Writing CSV file with Pandas
116. 04 Reading Excel file with Pandas
117. 05 Writing Excel file with Pandas
118. 06 Reading JSON file with Pandas
119. 07 Writing JSON file with Pandas
Quiz

15Section 15. Python Pandas chapter 146 lessons

120. 01 Pandas Chapter 15
121. 02 to_datetime in Pandas
122. 03 Date Range in Pandas
123. 04 strftime in Pandas
124. 05 Timestamp in Pandas
Quiz

16Final Exam1 lessons

Final Exam

Your instructor

PACI

Punjab Artificial Intelligence and Cybersecurity Initiative

No reviews yet20 courses on NSDP

PACI (Punjab Artificial Intelligence and Cybersecurity Initiative) publishes recorded courses in artificial intelligence, cybersecurity, web development and data skills.

View full profile

24-hour refund policy

Start learning with confidence.

1
Pay and start
Pay the course fee and open your first lessons on the NSDP Portal.
2
Ask within 24 hours
Not satisfied? Ask for a refund within 24 hours of payment.
3
Get your fee back
Our team confirms your request and refunds the course fee.

The same policy applies to self-paced courses (within 24 hours of payment) and to live Zoom and on-campus classes (within 24 hours of the first class). To ask, contact the NSDP helpline 0304 111 0869, WhatsApp 03484350668 or email support.department@nsdp.pk with your CNIC and PSID / challan number, or type “refund” in the NSDP Rehnuma chat. Requests after 24 hours aren’t eligible. See the cancellation & refund policy.

Student reviews

No reviews yet. Students can share their experience once they have completed at least half of the course.

Record your course on NSDPInstructors wantedCreate a self-paced course once, reach learners across Pakistan and abroad, and earn on every enrolment.Become an instructor

Students also explore

Self-Paced OnlineAdmissions open

AI & Data Science · English · Beginner

Master Power BI Desktop for data analysis

Master Power BI Desktop for data analysis: a self-paced PACI course with 75 lessons in 8 sections and a quiz after each section.

New

6 months course

PPACIPKR 1,000 / month

Self-Paced OnlineAdmissions open

AI & Data Science · English · Beginner

The SQL Programming Essentials

The SQL Programming Essentials: a self-paced PACI course with 53 lessons in 9 sections and a quiz after each section.

New

6 months course

PPACIPKR 1,000 / month

Self-Paced OnlineAdmissions open

Machine Learning · English · Beginner

Machine Learning Classification Bootcamp

Machine Learning Classification Bootcamp: a self-paced PACI course with 88 lessons in 11 sections and a quiz after each section.

New

6 months course

PPACIPKR 1,000 / month

Self-Paced OnlineAdmissions open

Machine Learning · English · Beginner

Machine Learning Regression Masterclass

Machine Learning Regression Masterclass: a self-paced PACI course with 81 lessons in 11 sections and a quiz after each section.

New

6 months course

PPACIPKR 1,000 / month