You want to step into the field of DATA. But do you know which area is best suited for you?
Compare your skills with the domain you are interested!!
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☑️Data Analyst
If you don't know what role Data Analyst plays, check out this (cutt.ly/VndBSnI)
Skills:-
Python and R
SQL
Excel
Data Visualisation Tools 📊📈📉
Report Building Tools (like Power BI & Tableau)
Communication, Presentation & Critical Thinking skills
☑️Machine Learning Engineer
If you don't know what role Machine Learning Engineer plays, check out this (cutt.ly/VndBSnI)
Skills:-
Applied Mathematics (such as statistics, linear algebra)
Data Modeling and Evaluation
Computer Science Skills (programming, data structures & algorithms, time & space complexity)
Machine Learning Algorithms
Natural Language Processing
Neural Network
Model Deployment
☑️Data Scientist
If you don't know what role Data Scientist plays, check out this (cutt.ly/VndBSnI)
Skills:-
Statistics & Probability
Data Wrangling & Visualization
Programming Abilities
Effective Storytelling
Critical Thinking Abilities
Tip: Some Data Scientists may gather skills of Machine Learning Engineers as well.
* New Term Alert*
Data Wrangling: It is the process of cleaning, structuring and enriching raw data into the desired format for better decision making in less time
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Data Analytics is the fundamental step towards building a career in Data Science. It uses pre-existing data or historical data to solve a given problem. It includes tasks like checking hypothesis, creating dashboards & reports and gathering data from various sources.
One should be adept at working with tools like Power BI to generate reports, Microsoft Excel and SQL to work with structured or unstructured data, and proficient in R and Python.
Data Science is a multidisciplinary field. It includes Computer Science, Mathematics, Statistics, Economics, etc. It is NOT a subset of Machine Learning. Data Scientist may use machine learning to discover new insights from the data, but not necessarily.