3 answers
3 answers
Updated
Aishanya’s Answer
In order to be a good data scientist, you should be able to understand data provided well, manipulate data as per your need and be able to derive patterns and predictions from it.
Some tech skills that might help you to ease these things are:-
1. Programming Language: Python or R
2. Probability and Statistics
3. Data Extraction, Transformation, and Loading
4. Data Manipulation and Data Analysis
5. Machine Learning and Deep Learning
6. Big Data Processing Frameworks - Hadoop, Apache Spark
7. Data Visualization - PowerBI, Tableau
Some soft skill required are:-
1. Communication Skills
2. Storytelling Skills
3. Structured Thinking
4. Curiosity
Some tech skills that might help you to ease these things are:-
1. Programming Language: Python or R
2. Probability and Statistics
3. Data Extraction, Transformation, and Loading
4. Data Manipulation and Data Analysis
5. Machine Learning and Deep Learning
6. Big Data Processing Frameworks - Hadoop, Apache Spark
7. Data Visualization - PowerBI, Tableau
Some soft skill required are:-
1. Communication Skills
2. Storytelling Skills
3. Structured Thinking
4. Curiosity
Updated
Sachin’s Answer
You will get all the skill that are required to be a data scientist like - programing, statistics, data visualization, etc by doing a college degree or a certification from a reputed institute. Look into IBM data science certifications. Many of them are free or cost a small subscription fee.
I want to also highlight that as a data scientist the majority of the time you will spend will not be in coding or other prescribed scope - it will be in data cleaning (getting the best data). This is an important step that forms the base of a good analysis and any meaningful insight. So more you learn about data scrubbing - the how to's, why, who to talk to (soft skill), etc the better data scientist you can become.
I want to also highlight that as a data scientist the majority of the time you will spend will not be in coding or other prescribed scope - it will be in data cleaning (getting the best data). This is an important step that forms the base of a good analysis and any meaningful insight. So more you learn about data scrubbing - the how to's, why, who to talk to (soft skill), etc the better data scientist you can become.