According
to the World Economic Forum's 'Future of Jobs' Report published in 2020, the
top job role in the world -- with the highest demand -- will be that of a Data Analyst
and Scientist by 2025. The pandemic-driven digital transformation has led to
greater demand for the data science skills, where employers are willing to pay
a premium, along with other benefits and long-term incentives, in order to
attract and retain the data scientists and data engineers.
According to Coursera's Global
Skills Report 2021, learners can prepare for an entry-level role of a Data
Analyst or Data Science with just around 64 hours of online learning sessions.
Here's a list of essential skills and online
courses in the field of Data Science that learners can choose from:
PLEASE NOTE : NO EXTERNAL
LINKS WERE PROVIDED IN THIS BELOW ARTICLE. PLEASE SEARCH AT YOUR OWN RISK.
1. Python
programming
- Programming for Everybody (Getting Started with Python) by
University of Michigan
- Python for Data Science, AI & Development by IBM
2.
Statistics
- Statistical Inference by Johns Hopkins University
3. Machine
learning
- Machine Learning by Stanford University
4.
Probability and statistics
- Probability and Statistics: To p or not to p? by University of
London
- Introduction to Probability and Data with R by Duke University
5. Machine
Learning Algorithms
- Machine Learning Algorithms: Supervised Learning Tip to Tail by
Alberta Machine Intelligence Institute, University of Alberta
- Artificial Intelligence Algorithms Models and Limitations by
LearnQuest
6. Applied
Machine Learning
- Introduction to Applied Machine Learning by Alberta Machine
Intelligence Institute, University of Alberta
- Applied AI with DeepLearning by IBM
- Applied Machine Learning in Python by University of Michigan
7. Data
Management
- Data Management and Visualization by Wesleyan University
- Prepare Data for Exploration by Google
8.
Econometrics
- Econometrics by HSE University
- Econometrics: Methods and Applications by Erasmus University
Rotterdam
9. Deep
Learning
- Neural Networks and Deep Learning by DeepLearning.AI
- Introduction to Deep Learning & Neural Networks with Keras by
IBM
10. SQL
- SQL for Data Science by University of California, Davis
- Databases and SQL for Data Science with Python by IBM
- Introduction to Structured Query Language (SQL) by University of
Michigan
The demand for data scientists
outstrips supply worldwide, and India is no exception to this. The domain
offers tremendous opportunities to take one's career to the next level, opening
up access to various job roles such as -- Data Analyst, Data Scientist, Data
Engineer, Data Architect, Business Analyst, Analytics Manager, and Business
Analytics Specialist.
It is not uncommon for companies globally to build data science teams with talent from a broader choice of fields — including social sciences — alongside traditional hires like computer scientists and creating opportunities for a diverse set of professionals to get data science jobs.
