Data Science (Full Course)

1 year ago 47

Data Science (Full Course)

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This app is an fantabulous prime for beginners to larn Data Science done interactive video tutorials and lessons for free.

Also, this app doesn't necessitate immoderate signup process which makes it highly user-friendly and convenient to use.

★ What you'll larn successful this course? ★
1. The people provides the full toolbox you request to go a information scientist
2. Fill up your resume with successful request information subject skills
3. Learn Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn
4. Learn Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
5. Impress interviewers by showing an knowing of the information subject field
6. Understand the mathematics down Machine Learning
7. Start coding successful Python and larn however to usage it for statistical analysis
8. Perform linear and logistic regressions successful Python
9. Be capable to make Machine Learning algorithms successful Python, utilizing NumPy, statsmodels and scikit-learn
10. Apply your skills to real-life concern cases
11. Use state-of-the-art Deep Learning frameworks specified arsenic Google’s TensorFlow
12. Develop a concern intuition portion coding and solving tasks with large data
13. Unfold the powerfulness of heavy neural networks
14. Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation
15. Warm up your fingers arsenic you volition beryllium anxious to use everything you person learned present to much and much real-life situations
16. Become a Data Scientist and get hired
17. Master Machine Learning and usage it connected the job
18. Deep Learning, Transfer Learning and Neural Networks utilizing the latest Tensorflow 2.0
19. Use modern tools that large tech companies similar Google, Apple, Amazon and Meta use
20. Present Data Science projects to absorption and stakeholders
21. Learn which Machine Learning exemplary to take for each benignant of problem
22. Real beingness lawsuit studies and projects to recognize however things are done successful the existent world
23. Learn champion practices erstwhile it comes to Data Science Workflow
24. Implement Machine Learning algorithms
25. Learn however to programme successful Python utilizing the latest Python 3
26. How to amended your Machine Learning Models
27. Learn to pre process data, cleanable data, and analyse ample data.
28. Build a portfolio of enactment to person connected your resume
29. Developer Environment setup for Data Science and Machine Learning
30. Supervised and Unsupervised Learning
31. Machine Learning connected Time Series data
32. Explore ample datasets utilizing information visualization tools similar Matplotlib and Seaborn
33. Explore ample datasets and wrangle information utilizing Pandas
34. Learn NumPy and however it is utilized successful Machine Learning
35. A portfolio of Data Science and Machine Learning projects to use for jobs successful the manufacture with each codification and notebooks provided
36. Learn astir Data Engineering and however tools similar Hadoop, Spark and Kafka are utilized successful the industry
37. The full Data Science process
38. Cloud concepts & exertion successful Data Science
39. Database concepts
40. Statistics fundamentals arsenic needed successful Data Science
41. Visualizations for information mining and presentation
42. An overview connected Statistical Learning
43. The essentials of Machine Learning
44. More precocious Python to use to Data Science
45. Understand the basics of probability
46. Be capable to instrumentality basal statistics
47. Understand however to usage assorted statistical distributions
48. Apply statistical methods and proposal investigating to concern problems
49. Understand however regression models work
50. Implement 1 mode and 2 mode ANOVA
51. Be capable to recognize antithetic types of data

★ Disclaimer ★
Developer claims nary recognition for immoderate video embedded successful this app unless different noted. Videos embedded successful this app are copyright to its respectful owners. If determination is an video appearing successful this app that belongs to you and you bash not privation it to look successful this app, delight interaction america via email and it volition beryllium promptly removed.

★ Icon Credit ★
https://www.flaticon.com/free-icons/data-science

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