2024 Data Science Interview Concept Prep. Guide in 10 hours. (Prepare for Data Science Interviews)

How do you crack your Data Science interview in just 10 hours? This intensive course will cover all the basic to advanced concepts that include data preprocessing, Machine learning, and creating charming visuals with the help of Tableau. You will learn with actual examples and scenarios, which will help you gain practical experience, which will be very useful. We will guide you step-by-step through expert trainers to prepare you for the interview and any questions that may be thrown at you.

The strategy of covering all the aspects of interview concepts in 10 hours makes the “2024 Data Science Interview Concept Prep. Guide in 10 hours” course ideal for interview preparation. They range from basic Python, SQL, Tableau, and Machine Learning to Artificial Intelligence. Yes, it is free and doesn’t require any prior programming background from the user. Fasten your seat belt because you are about to get a very vigorous learning process.

Come and be part of us and make the first move in achieving a great career in Data Science. By the end of the course, you will read, write and visualize data with libraries such as Pandas, NumPy, and scikit-learn, troubleshoot machine learning models, visualize data and write fast SQL queries. It is time to join and create your portfolio and social network among the industry validators. With our course “2024 Data Science Interview Concept Prep. Guide in 10 hours”, you will receive all the necessary knowledge to progress and get a better job in the interesting sphere of Data Science!

2024 Data Science Interview Concept Prep. Guide in 10 hours Table of Contents:

1. Introduction to Pandas: 08:53
2. Importing Data into Python: 06:14
3. Pandas Data Processing: 16:53
4. Pandas Dataframe Manipulation: 05:13
5. Advanced Topics in Python: 12:39
6. Numpy Library: 22:02
7. Matplotlib - Plotting Library: 30:21
8. Linear Regression: 09:55
9. Multivariate Regression: 06:36
10. Implementation of Logistic Regression: 13:07
11. Logistic Regression Part 2: 03:20
12. K-Nearest Neighbour: 15:40
13. K-Means Clustering: 21:38
14. Introduction to SQL: 03:01
15. Installing SQL: 03:43
16. Loading Databases: 01:30
17. SQL Basics for Interview: 17:27
18. Intermediate SQL for Interview: 10:34
19. SQL Aggregates: 06:09
20. SQL Joins: 10:24
21. SQL Subqueries and Cases: 10:02
22. SQL Terminologies: 09:52
23. Introduction to Machine Learning: 22:08
24. Machine Learning Overview: 09:16
25. Complete Gist of an ML Project and Intro to Classification and Regression: 14:08
26. Installation: 00:58
27. Connecting Data to Tableau: 01:58
28. Data Manipulation with Tableau (Multiple Sessions): 20:21
29. Data Manipulation with Tableau - Joins: 04:59
30. Data Manipulation with Tableau - Blending: 04:29
31. Tableau Overview: 03:56
32. Classification - Part 1: 23:05
33. Classification - Part 2: 31:12
34. Decision Classification: 21:51
35. Naive Bayes: 21:22
36. Random Forest: 17:08
37. Random Forest Classifier: 12:58
38. Support Vector Machines: 12:04
39. Support Vector Regressor: 11:05
40. Hierarchical Clustering: 16:06
41. Decision Tree Regressor: 19:41
42. End to End Project - Part 1: 35:10
43. End to End Project - Part 2: 25:18

Who is this course for?

1. Students eager to learn the basics of Python
2. Students who want to consolidate their knowledge in intermediate-level programming use Python.
3. Intensifying audiences of experience who want to update information in the field.
4. All the people who approach their Data Science interviews full of confidence

Click on the links below to Download 2024 Data Science Interview Concept Prep. Guide in 10 hours!