DataHour: Extracting Value from Data

Online 11-10-2022 07:00 PM to 11-10-2022 08:00 PM
  • 4762


  • Knowledge and Learning


DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

With data being the core of every industry in the current scenario, the complexity and size of data is increasing every second. In this session we would dive deep to find out how one can make sense out of raw unstructured data. For any aspiring Data scientist, Data processing and transformation is the stepping stone to building an interpretable machine learning model. The exercise of Data wrangling is core to explaining your predictions and outcomes. This avoids leaving the analysis or ML models from being a 'black box'. 

In this DataHour, Varun will cover the following topics:

  • Types of Data (Structured/ Unstructured)
  • Basic Data checks (Variable types, Skewness, Variance, NULL value treatment, Data cleaning)
  • Outlier detection & Treatment, NULL Value imputation, Standardization/Normalization
  • Data Transforming (Transforming variables into meaningful formats, Combining redundant variables, Reducing data complexity)
  • Data sets examples across different industries and their use cases
  • Data wrangling concepts (Grouping, Merging, Gather/Spread/Pivot operations, Dealing with date fields. Aggregation techniques etc.)

 Interest in the Data Science domain, basic understanding of SQL and statistics and various data variable types.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Varun Behl

Data Scientist at Adobe

Varun is currently working as Data Science Engineer with Adobe in Bangalore. He has more than 5 years of experience in the Data science profession and has worked with various kinds of data covering industries like Telco, Ecommerce, Pharma, Retail, Musigma and Web analytics. He also has keen interest in the research side of Machine learning with NLP, Forecasting, Segmentation and Recommendations being areas where has contributed significantly for  enhancing  the existing scope of Traditional modeling techniques.

Connect with Varun at Linkedin 


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