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Data-Driven Careers Deciphered

Science infographics

• Business Analyst

• A few core know-hows are required Which comprise Of:

• Knowledge of Statistical Tools/Softwares: SAS, STATA. SPSS, R

• Able to demonstrate an understanding of analytical techniques including regression, trend analysis, forecasting and A/B testing.

• MS Excel Mastery including Pivot tables, Array function & VBA Visualisation Tools like Tableau. Power Bl. QlikView

• A substantial amount Of domain knowledge

• Data Analyst

• A baseline understanding of a few core know-hows are required which comprises of:

• Programming (Python & R)

• Applied Statistical analysis

• Applied Machine learning

• Data Visualization — Tableau. PowerBl. QlikView

• Data Munging

• Data Collection & Processing

• Data Engineer

• The Skill set for a data engineer includes:

• Data Tools & Ecosystems — MapReduce. Hive, pig, Spark. Kafka

• SQL based technologies — MySQL. PostgreSQL

• NoSQL Technologies — Mongo DB. Cassandra

• Data Warehousing Solutions.

• Data Scientist

• Toolkit for a Data Scientist Comprising of a few Concepts along with the ones Mentioned above for A Data Analyst:

• Multivariate Statistics — Regression, Principal components analysis and clustering

• Natural Language Processing

• Computer Vision

• Prescriptive & Predictive Modelling.

• Cloud Services - AWS, Google cloud, Microsoft Azure.

• Familiarity with deployment mechanisms for Machine Learning algorithms — Docker. Kubernetes, TIDAL