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Showing posts with the label SAS Base Programmer

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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' ]) ...

Benefits of having Certified SAS Base Programmer

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Why certification is beneficial? Professionals in data management, data warehousing or in a business intelligence role would find the certification ideal. In addition, recent college graduates having an inclination to logically solve problems and pursuing to enter the data analysis field will find the certification beneficial to kick start their careers.  Base SAS Programmer This course is also ideal, if you are a working professional OR a recent graduate who is Aspiring to be in fast growing career Looking for a more challenging position Aiming to get into a more skillful role Aspiring to be one of the coolest scientists of 21st century What is Base Sas? It's the foundation for all SAS software. Along with an easy-to-learn, flexible programming language, you get a web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a mac...