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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
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Data analytics popular free video course on SAS

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The Introduction to Analytics course is a set of 12 videos that take you through the basics of data analytics and the language of SAS.You should do this course if you are interested in data analytics and would like to pursue it as a career or if you have heard about the buzz it is creating and just want to know what it is all about.
free sas course

Each video is 5 to 30 minutes in length. If done in one go, it should take you about two hours to cover the course.

The course is divided into three sections. The first section 'Introduction to Analytics' is a set of 6 videos. Here is a snapshot of the 6 videos:

1. What is analytics?
This module explains the basis of analytics.

2. Why is analytics popular?
This module talks about why analytics has become a big buzzword in business circles and the advantages of analytics.

3. Analytics applications?
Here you will be introduced to the various analytics applications popularly used today.
4. Analytics technology

Link to free course

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