Thread by @Ano_Expected

Every Data scientist should know this!!
🧵⬇️

Top 10 Industries for Data Science :
1. Finance
2. Retail
3. Technically
4. Healthcare
5. Telecom
6. Pharma
7. Automation
8. Cyber security
9. Energy
10. Utilities

Top 10 Roles for Data Science:
1. Data Scientist
2. Machine Learning Engineer
3. Analyst
4. ETL Engineer
5. Data Engineer
6. Analytics Manager
7. Tableau Developer
8. Researcher
9. BI Analyst
10. AI engineer

Best Websites for Data Science:
1. Analytics Vidhya
2. Kaggle
3. Coursera
4. Udacity
5. Datacamp
6. edX
7. Udemy
8. KDNuggetts
9. R-bloggers
10. Khan academy
11. Towards Data science
12. Machine Learning Mystery
13. OpenAI

Top 10 Skills for Data Science:
1. Probability and Statistics
2. Linear Algebra
3. Python
4. R
5. SQL
6. Power BI or Tableau
7. AWS or Azure
8. Spark
9. Excel
10. DevOps

Best Social Media hashtags to follow for Data Science:
1. #DataScience
2. #ArtificialIntelligence
3. #MachineLearning
4. #DeepLearning
5. #innovation
6. #technology
7. #Analytics
8. #businessintelligence
9. #datamining
10. #BigData
11. #Data

Top 10 free Dataset sources for Data Science projects:
1. Kaggle
2. UCI Machine Learning Repository
3. Google Custom Dataset search
4. gov
5. Reddit
6. Quandi
7. VisualData
8. GitHub
9. world
10. Google cloud public datasets

Top 10 Algorithms for Data Science:
1. Linear Regression
2. Logistic Regression
3. K-means Clustering
4. PCA
5. Support Vector Machine
6. Decision Tree
7. Random Forest
8. Gradient Boosting Machines
9. Naive Bayes Classifier
10. Artificial Neural Networks

Top 10 Python Libraries for Data Science:
1. Pandas
2. Numpy
3. Scikit-Learn
4. Keras
5. PyTorch
6. LightGBM
7. Matplotlib
8. SciPy
9. Theano
10. TensorFlow

Keep learning there are great opportunities in the field of Data Science!!