Showing posts with the label successful career

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How to Check Column Nulls and Replace: Pandas

Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda

Career in analytics these 3 are top tips you need

There is a big question to be successful in analytics career. I am giving most popular ideas to be successful in this analytics career. There are absolutely three... The tip number one is you need to be familiar with different types of analytics. Web Analytics Financial Analytics Marketing Analytics Education Analytics Retail Analytics Health Care Analytics The second one is you should have right kind of training at less expensive way. In the booming Analytics Industry, one needs right course of training and experience, and working experience of case studies on selected analytics area, really boost your career. I am sure Udemy is offering lot of courses . The third rule and idea is correct mindset Assertive Communication   BE PROACTIVE - Be Proactive is about taking responsibility for your life. You can't keep blaming everything on your parents or grandparents. Proactive people recognize that they are "response-able." They don'