2024 Data Science Interview Concept Prep. Guide in 10 hours.

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Rishabh Singh

9:34:26

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1. Pandas

1. Inroducation to Pandas.mp4

08:53

2. Importing Data into Python.mp4

06:14

3. Pandas Data Processing.mp4

16:53

4. Pandas Dataframe Manipulation.mp4

05:13

5. Advance Topics in Python.mp4

12:39

Files.zip

2. Numpy

1. Numpy Library.mp4

22:02

Files.zip

3. Matplot Library

1. MatPlotLib - Plotting Library.mp4

30:21

Files.zip

4. Regression Analysis

1. Linear Regression.mp4

09:55

2. Multivariate Regression.mp4

06:36

Files.zip

5. Logistic Regression

1. Implementation of Logistic Regression.mp4

13:07

2. Logistic Regression Part 2.mp4

03:20

Files.zip

6. K - Nearest Neighbour

1. K - Nearest Neighbour.mp4

15:40

Files.zip

7. K - Means Clustering

1. K Means Clustering.mp4

21:38

8. Structured Query Language

1. Introduction to SQL.mp4

03:01

2. Installation of SQL.mp4

03:43

3. Loading Databases.mp4

01:30

4. Basic for Interview.mp4

17:27

5. Intermediate for SQL for Interview.mp4

10:34

6. Aggregate.mp4

06:09

7. Joins.mp4

10:24

8. Subqueries and Cases.mp4

10:02

Files.zip

9. Machine Learning

1. Terminologies.mp4

09:52

2. Machine Learning.mp4

22:08

3. Machine Learning.mp4

09:16

4. Complete Gist of a ML Project and intro to Classification and Regression.mp4

14:08

10. Tableau

1. Installation.mp4

00:58

2. Connecting Data to Tableau.mp4

01:58

3. Data Manipulation with Tableau.mp4

04:34

4. Data Manipulation with Tableau.mp4

03:30

5. Data Manipulation with Tableau.mp4

02:24

6. Data Manipulation with Tableau.mp4

07:56

7. Data Manipulation with Tableau.mp4

01:57

8. Data Manipulation with Tableau - Joins.mp4

04:59

9. Data Manipulation with Tableau - Blending.mp4

04:29

10. Tableau.mp4

03:56

Files.zip

11. Classification

1. Classification - Part 1.mp4

23:05

2. Classification - Part 2.mp4

31:12

12. Decision Tree Classification

1. Decision Classification.mp4

21:51

Files.zip

13. Naive Bayes

1. Naive Bayes.mp4

21:22

Files.zip

14. Random Forest

1. Random Forest.mp4

17:08

Files.zip

15. Random Forest Classifier

1. Random Forest Classifier.mp4

12:58

Files.zip

16. Support Vector Machine

1. Support Vector Machines.mp4

12:04

Files.zip

17. Support Vector Regressor

1. Support Vector Regressor.mp4

11:05

Files.zip

18. Hierarchical Clustering

1. Hierarchical Clustering.mp4

16:06

Files.zip

19. Decision Tree Regressor

1. Decision Tree Regressor.mp4

19:41

Files.zip

20. End to End Project

1. End to End Project - Part 1.mp4

35:10

2. End to End Project - Part 2.mp4

25:18

Files.zip

Description

Prepare for Data Science Interviews in Just 10 Hours - Master Essential Concepts and ace Your Dream Job!"

What You'll Learn?

LEARN TO IMPLEMENT MACHINE LEARNING TECHNIQUES USING PYTHON
LEARN DATA VISUALIZATION TECHNIQUES
LEARN TO ANALYZE RAW DATA
APPLY PRINCIPLES OF DATA SCIENCE TO THE ANALYSIS OF BUSINESS PROBLEMS

Who is this for?

This course is ideal for Python enthusiasts at all levels - from beginners to advanced - who want to refresh their knowledge of the basics and ace their interviews with confidence.

What You Need to Know?

This 10-hour crash course is designed specifically for interview prep, covering the basics of Python, SQL, Tableau, Machine Learning, and Artificial Intelligence. No prior programming experience is required, but be prepared for a fast-paced learning experience!

More details

Description
Unlock the secrets to acing your Data Science interview in just 10 hours! This intensive course covers the essential concepts and practical skills you need to succeed. From data preprocessing to machine learning and visualization, we'll dive into the most critical topics and provide you with hands-on experience. Get ready to:

- Master key concepts and techniques
- Practice with real-world examples and case studies
- Build confidence in your skills and knowledge
- Ace your Data Science interview and land your dream job!

Join us and take the first step towards a successful career in Data Science!

Our expert instructors will guide you through interactive lectures, hands-on exercises, and real-world examples, ensuring you're well-prepared for even the toughest interview questions. You'll learn how to:

- Work with popular libraries and frameworks like Pandas, NumPy, and scikit-learn
- Develop and evaluate machine learning models
- Create informative and engaging data visualizations using Tableau
- Communicate complex ideas and insights effectively
- Write efficient SQL queries to extract and manipulate data

Don't miss out on this opportunity to transform your career. Enroll now and get ready to succeed in the field of Data Science! With our course, you'll gain a competitive edge and be ready to tackle real-world challenges. Start your journey today! Gain practical experience, build your portfolio, and connect with industry professionals to accelerate your career growth. Learn from expert instructors with extensive industry experience and stay ahead in the field.
Who this course is for:
This course is ideal for Python enthusiasts at all levels - from beginners to advanced - who want to refresh their knowledge of the basics and ace their interviews with confidence.

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Data Science

Rishabh Singh

Instructor's Courses

Alumni to IIM Indore, Symbiosis, Rutgers USA. - Quantitative Developer / Quantitative Trader / Strategic & result-oriented finance professional with over four years of experience, specializing in leading the FP&A efforts, predictive risk modeling, and instrument valuation of trading book securities. Highly skilled in robust modeling, forecasting, analytical & reporting techniques. An accomplished technology enthusiast who consistently increases the company’s revenue through initiatives, out-of-box thinking, and simplifying tasks. Thrives in high-pressure environments. Excellent coding, automation, decision-making, and persuasive skills.

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