IP Class 12 Zoom Online Class Recorded Lecture By Anand Sir
in Class 12What you will learn?
Expert Instruction: Access high-quality teaching from Anand Sir, ensuring clarity and depth in your learning.
Convenience: Study from anywhere with an internet connection, eliminating the need for physical attendance.
Flexibility: Learn at your own pace and schedule, fitting your studies around your other commitments.
Comprehensive Coverage: Gain in-depth understanding of key concepts in I.P.
This is the Complete IP Class 12 Course, covering IP, MySQL, and Networking.
About this course
Dear Learner,
Welcome to the IP Recorded Video Batch. This self-paced online course offers pre-recorded videos of classes conducted by Anand Sir. With a duration of approximately 50 hours, you have the flexibility to complete the course with ease.
The Online Face-to-Face Zoom Class is offered at a budget-friendly price, ensuring that it remains more affordable compared to other options. This cost-effective approach allows more students to access the course and prepare effectively for their exams.
Python Pandas - I
- Introduction to Pandas and course syllabus
- Series: Understanding the data structure
- Creating Series and Pandas objects
- Series attributes and manipulation (using methods like head and tail)
- Reindexing, dropping indexes, and sorting
- Introduction to DataFrame: Understanding the DataFrame object
- Creating DataFrame using 2D dictionaries, ndarrays, and Series
- Performing various operations on DataFrame objects
Python Pandas - II
- Iterrows() & Iteritems() functions for iterating through DataFrame
- Binary operations in DataFrame
- IP MCQ Explanation for better understanding of concepts
- Practice questions related to DataFrame
Plotting with PyPlot
- Introduction to Data Visualization
- Plotting charts and graphs using matplotlib
- Creating Bar charts and other visualizations
- Practice questions on Pandas and Data Visualization
Importing/Exporting Data
- Handling CSV files: Importing and exporting data
Happy Learning!
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Only Phone or Laptop or Computer or Smart TV with Internet Connection
Related Courses
Comments (0)
In this video the whole syllabus has been discussed. Along with this the most important topic i.e. Python Pandas has been discussed with its installation procedure.
In this video, Pandas Data Structure has been explained keeping in view the syllabus. Further, it’s type i.e. Series and DataFrame data structure has been discussed.
In this video, the way to create a Series object has been discussed. The four ways to create a Series Object has been discussed i.e. a) Using Python Sequence b) Using ndArray c) Using Python Dictionary d) Using scalar values
In this video the further ways of creating a Series object has been explained. Along with this some practice question has also been explained related to Series Object.
In this video all the attributes of Series object has been explained. Some of the attributes of Series are index, values, dtype etc.
In this video, multiple topics have been covered viz. Modifying series object, head() and tail() method calculation on Series object etc.
In this video, Introduction to DataFrame object has been taught. Along with this some remaining topics of Series object i.e. Sorting Series Object. The topics are: reindexing, Dropping index, Introduction of DataFrame Object
In this video, the ways of creating the DataFrame object has been discussed. The first way is: a) creating dataframe object using 2D dictionary b) creating dataframe object using ndarray
In this video, you will further learn about the ways of creating dataframe object using a) Series object b) From another dataframe object
In this video, you will learn further about DataFrame object. The topics viz. Getting count of Non-NaN values, Selecting and Accessing data, and different Practice Questions has been explained in this video.
In this video, the progress has been seen as per the syllabus. Along with this the DataFrame concept of iterrows() and Iteritems() methods have been explained.
In this video, further discussion on iterrows() and iteritems() have been explained. Along with this the Binary Operations on DataFrame object has been explained.
In this video, many MCQ Questions related to Series and DataFrame object has been explained.
In this video, some new topics of DataFrame object has been explained. Some students asked some questions about DataFrame object and the same was solved with explanation.
In this video, introduction to Data Visualization has been explained.
In this video, various kinds of Charts & Graphs has been discussed along with required module.
In this video, bar() chart has been discussed with all its attributes. Program examples has also been explained to explain the bar() chart.
In this video, some important questions from the topics viz. Python Pandas and Data Visualization has been explained in detail.
In this video, a topic CSV Files have been explained. This is a one shot video in which all the concepts related to importing exporting CSV files have been explained as per the syllabus.
