• Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with UCLA Extension
    4.6 out of 5 by 1937 learners
    12 X industry demand
  • Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    4.6 out of 5 by 3487 learners
    32 X industry demand
  • Post Graduate Program In Data Analytics
    4.8 out of 5 by 3278 learners
    14 X industry demand
  • Data Science Prodegree
    Co-created with KPMG in India
    4.7 out of 5 by 6233 learners
    16 X industry demand

To get accurate and correct results of a machine learning model, you must prepare your data before its usage. Various applications like the DataPrep can prove to help complete such a tiresome work quickly and efficiently. Without making many efforts, with just a couple of lines of coding, the data can be prepared.

Applications like DataPrep assist the user to explore the attributes and the properties of the data in use. In the recent modifications of the application, advanced aspects like the EDA, short for Exploratory Data Analysis can be found which has been working like never before.

How to use DataPrep?

To make the best use of DataPrep, follow these simple tips.

  1. Import required libraries

The first and the foremost step to begin with DataPrep is to install necessary libraries. Generally, different features in DataPrep can be used through different functions and these functions need to be installed before getting started with preparing the data. Initially, a plot function needs to be downloaded which can be effectively used to visualize the properties and other statistical plots of the data under consideration. After this, you will have to import Plotly Express which is further required to download the datasets which you will be working on.

  1. Importing datasets

For importing the datasets, click on the option of import data sets by being on the flow page. For comparison or better presentation of the data, importing is paramount. You can import more than one data at the same time. This can be done by selecting ‘choose a file or folder’ and click the ‘pencil icon’ and insert the desired file. The files inserted can be renamed for a better understanding.

  1. Exploratory data analysis

To begin with, you need to do statistical data exploration and detailed analysis. You can make use of the plot function for this part of statistical data exploration. Generally, the whole data can be converted into a detailed analysis by just using a single line of coding.

After filling in the code you will be able to see the statistical properties, their frequency and their count. In case you wish to get a display of the dataset statistics, you may select the option of ‘Show Stats Info’ on the screen itself.

If you want to explore the data through its individual and separate attributes and not the whole together, it is possible and quite convenient. Exploring individual attributes of the data provides a clear idea about every aspect. Moreover, it supports various plots like the Box Plot etc.

  1. Plot correlation

In the next step, the plot needs to be imported and correlated so that a heat map for different attributes of statistical data can be created out of it. Heatmaps provide a lucid relationship between all the different attributes of the statistical data. DataPrep provides you with three variants of heatmaps.

  1. Finding the missing Data

Lastly, any missing data in the datasets must be searched so that a replacement can be made in case the data found is not required. For finding the data, use of advertising datasets can be made which can highlight at least some of the missing data.

Conclusion

DataPrep works efficiently with python. However, python is not an easy coding language to lay your hands on without having proper Python training.

You may consider Imarticus learning for getting professional assistance for the different subject matter.  A python programming course can also be taken up at Imarticus for a deep insight into python.

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • POST GRADUATE PROGRAM
    Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with UCLA Extension
    Course duration(Weeks)
    28
    Upcoming batches
    2
    Organizations enrolled
    20
    4.6 out of 5 by 1937 learners
    12 X industry demand
    Upcoming Batches
    Date Location Schedule
    10th March CHENNAI Weekend
    Date Location Schedule
    27th March BANGALORE-KORAMANGALA Weekend
  • Prodegree
    Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    Course duration(Months)
    4
    Upcoming batches
    3
    Organizations enrolled
    20
    4.6 out of 5 by 3487 learners
    32 X industry demand
    Upcoming Batches
    Date Location Schedule
    20th March CHENNAI Weekend
    27th March BANGALORE-KORAMANGALA Weekday
    Date Location Schedule
    20th March BANGALORE-KORAMANGALA Weekend
  • Post Graduation
    Post Graduate Program In Data Analytics
    Course duration(Months)
    5
    Upcoming batches
    4
    Organizations enrolled
    20
    4.8 out of 5 by 3278 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    16th March BANGALORE-KORAMANGALA Weekday
    23rd March BANGALORE-KORAMANGALA Weekday
    Date Location Schedule
    19th March DELHI Weekend
    25th March CHENNAI Weekday
  • Prodegree
    Data Science Prodegree
    Co-created with KPMG in India
    Course duration(Months)
    2-4
    Upcoming batches
    7
    Organizations enrolled
    20
    4.7 out of 5 by 6233 learners
    16 X industry demand
    Upcoming Batches
    Date Location Schedule
    6th March BANGALORE-KORAMANGALA Weekend
    20 March DELHI Weekend
    20 March BANGALORE-KORAMANGALA Weekend
    27 March BANGALORE-MARATHAHALLI Weekend
    Date Location Schedule
    6th March DELHI Weekend
    20 March CHENNAI Weekend
    20 March ONLINE Weekend