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  1. Job Roles
  2. >
  3. Data Scientists

Data Scientists

What does a professional in this career do?

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

In this job you will...

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
  • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
  • Recommend data-driven solutions to key stakeholders.
  • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
  • Write new functions or applications in programming languages to conduct analyses.

Skills You Will Gain

Big Data Technologies
Business Insights and Recommendations
Data Analysis and Interpretation
Machine Learning
Statistical Modeling

Representative Journeys

Become a Data Scientist
Become a Data ScientistPraba Santhanakrishnan, Pramod Gupta, Matt Harrison | Data Science | 30 hrs and 30 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
introduction-to-data-analysis-using-r
Introduction to Data Analysis using R
Pramod GuptaSkills: Data AnalysisRR Studio
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas

Journey Completed

Big Data Fundamentals
Big Data FundamentalsPraba Santhanakrishnan, Mark Kerzner, Rod Davison | Data Science | 11 hrs and 55 mins

Launch Journey

big-data-services-on-microsoft-azure
Big Data Services on Microsoft Azure
Praba SanthanakrishnanSkills: Azure Data FactoryAzure HDInsight clusterData WarehouseDatalake
spark-and-elasticsearch-for-big-data-analytics
Spark and Elasticsearch for Big Data Analytics
Mark KerznerSkills: Data ScienceElasticsearchReal-time indexingSearch and Data-AnalysisSpark
big-data-hadoop-and-spark-developer-in-amazon-elastic-mapreduce
Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce
Rod DavisonSkills: Amazon Elastic MapReduce (EMR)Big DataData ScienceHandoopSpark Developer
understanding-and-applying-key-tools-for-big-data-analytics
Understanding and Applying the Key Tools for Big Data Analytics
Mark KerznerSkills: Big Data analytics toolsCloud-based analyticHive

Journey Completed

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SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Introduction to Data Analysis using R

Introduction to Data Analysis using R

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Introduction to Python for Data Science

Introduction to Python for Data Science

Getting Started with Pandas

Getting Started with Pandas

Spark and Elasticsearch for Big Data Analytics

Spark and Elasticsearch for Big Data Analytics

Big Data Services on Microsoft Azure

Big Data Services on Microsoft Azure

Understanding and Applying the Key Tools for Big Data Analytics

Understanding and Applying the Key Tools for Big Data Analytics