Data Science and Big Data - H2kinfosys

Data Science and Big Data

H2K Infosys is offering Data Science and Big Data

Why H2K Infosys?

  • [Image: Oriented Training]

    100% job oriented training

  • [Image: Live Training]

    Instructor-led face-to-face live training

  • [Image: Latest Technologies]

    Huge course syllabus on latest technologies

  • [Image: Real Time

    Real-time projects to gain hands-on experience

  • [Image: Cloud Test]

    Cloud Test Lab to practice on software tools and projects

  • [Image: Recorded Class]

    Lifetime access to recorded class videos

About Data Science and Big Data Course

  • This course is designed keeping in mind the growing need for skilled resources in the field of Data Science and Big Data technologies

  • • I.T. career aspirants who wish to kickstart their career in one of the hottest technologies in the market 

    • Architects, software administrators, developers, testers who want to build an effective data processing application or perform big data analysis

    • ETL developers who wish to add an additional technology in their skillset on data management

Data Science and Big Data Course Syllabus

  • • Introduction to Data Science

    •Introduction to Hadoop

    • Working with HDFS and Hive

    • Introduction to Apache Spark 2

    • Reading and Writing data

    • Inspecting Data Quality

    • Cleansing and transforming data

    • Summarizing and grouping data

    • Combining, splitting and reshaping data

    • Exploring data

    • Configuring, monitoring and troubleshooting Spark applications

    • Overview of machine learning in Spark MLlib

    • Extracting, transforming and selecting features

    • Building and evaluating regression, classification and clustering models

    • Cross-validating models and tuning hyperparameters

    • Building machine learning pipelines 

    • Deploying machine learning models

Interview Questions

Interview questions not provied yet

Sample Resumes

Sample resumes not provied yet

Data Science and Big Data Ratings



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