Libraries for Data Science in Python

Backend Burger

MUST ADD these 5 POWER Bl projects to your resume to get hired

Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger

📌Customer Churn Analysis
🔗 https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input

📌Credit Card Fraud
🔗 https://github.com/sahidul-shaikh/credit-card-fraud-

📌Movie Sales Analysis
🔗https://www.kaggle.com/datasets/PromptCloudHQ/imdb-data

📌Airline Sector
🔗https://www.kaggle.com/datasets/yuanyuwendymu/airline-

📌Financial Data Analysis
🔗https://www.kaggle.com/datasets/qks1%7Cver/financial-data-

✅ Free Courses with Certificate:
https://t.me/techpsyche

Simple guide

1. Data Utilization:
- Initiate the process by using the provided datasets for a comprehensive analysis.

2. Domain Research:
- Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis.

3. Dashboard Blueprint:
- Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality.

4. Data Handling:
- Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations.

5. Question Formulation:
- Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data.

6. Platform Integration:
- Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility.

7. LinkedIn Visibility:
- Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections.

Power BI Syllabus: https://t.me/dataanalysisresourcestp/66

Chart Selection: https://t.me/dataanalysisresourcestp/81

3 Must Do Data Analytics Courses: https://tinyurl.com/m239d2s8

Hope this helps you

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🔍 Mastering Spark: 20 Interview Questions Demystified!

1️⃣ MapReduce vs. Spark: Learn how Spark achieves 100x faster performance compared to MapReduce.
2️⃣ RDD vs. DataFrame: Unravel the key differences between RDD and DataFrame, and discover what makes DataFrame unique.
3️⃣ DataFrame vs. Datasets: Delve into the distinctions between DataFrame and Datasets in Spark.
4️⃣ RDD Operations: Explore the various RDD operations that power Spark.
5️⃣ Narrow vs. Wide Transformations: Understand the differences between narrow and wide transformations in Spark.
6️⃣ Shared Variables: Discover the shared variables that facilitate distributed computing in Spark.
7️⃣ Persist vs. Cache: Differentiate between the persist and cache functionalities in Spark.
8️⃣ Spark Checkpointing: Learn about Spark checkpointing and how it differs from persisting to disk.
9️⃣ SparkSession vs. SparkContext: Understand the roles of SparkSession and SparkContext in Spark applications.
1️⃣0️⃣ Spark-submit Parameters: Explore the parameters to specify in the spark-submit command.
1️⃣1️⃣ Cluster Managers in Spark: Familiarize yourself with the different types of cluster managers available in Spark.
1️⃣2️⃣ Deploy Modes: Learn about the deploy modes in Spark and their significance.
1️⃣3️⃣ Executor vs. Executor Core: Distinguish between executor and executor core in the Spark ecosystem.
1️⃣4️⃣ Shuffling Concept: Gain insights into the shuffling concept in Spark and its importance.
1️⃣5️⃣ Number of Stages in Spark Job: Understand how to decide the number of stages created in a Spark job.
1️⃣6️⃣ Spark Job Execution Internals: Get a peek into how Spark internally executes a program.
1️⃣7️⃣ Direct Output Storage: Explore the possibility of directly storing output without sending it back to the driver.
1️⃣8️⃣ Coalesce and Repartition: Learn about the applications of coalesce and repartition in Spark.
1️⃣9️⃣ Physical and Logical Plan Optimization: Uncover the optimization techniques employed in Spark's physical and logical plans.
2️⃣0️⃣ Treereduce and Treeaggregate: Discover why treereduce and treeaggregate are preferred over reduceByKey and aggregateByKey in certain scenarios.

PySpark Concepts: https://t.me/datascienceresourcestp/63

Data Engineer Interview Questions: https://t.me/datascienceresourcestp/61

Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Who is Data Scientist?

He/she is responsible for collecting, analyzing and interpreting the results, through a large amount of data. This process is used to take an important decision for the business, which can affect the growth and help to face compititon in the market.

A data scientist analyzes data to extract actionable insight from it. More specifically, a data scientist:

Determines correct datasets and variables.

Identifies the most challenging data-analytics problems.

Collects large sets of data- structured and unstructured, from different sources.

Cleans and validates data ensuring accuracy, completeness, and uniformity.

Builds and applies models and algorithms to mine stores of big data.

Analyzes data to recognize patterns and trends.

Interprets data to find solutions.

Communicates findings to stakeholders using tools like visualization.

Data Science Habits: https://t.me/datascienceresourcestp/56

Top Data Science Tools: https://t.me/datascienceresourcestp/70

Find More Tips & Resources Here:
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Remote Senior Data Engineer (Python) Job at Soda Data

- Fully Remote
- Compensation: Up to 110, 000 euros/year + equity

Requirements
- Experience building data/ML products or cloud-based software
- Python Data Stack and SQL skills

Apply Here:
https://kenyatrends.co.ke/8sgf

𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐓𝐨 𝐁𝐞𝐜𝐨𝐦𝐞 𝐒𝐤𝐢𝐥𝐥𝐞𝐝 𝗜𝗻 𝟐𝟎𝟐𝟓

Free lifetime access – Learn anytime, anywhere

Get Completion Certificate

𝐋𝐢𝐧𝐤👇:- 

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New developers: Whenever you work on something interesting, write it down in a document which you keep updating. This will be very helpful when you need to create a resume or have to talk about your achievements in an interview. (Or for college essays.)

I can guarantee you that if you don't do this, you will forget half the interesting things you've done; and for a majority of us, our brains are experts in convincing us that we haven't really done anything interesting.

𝗖𝗜𝗦𝗖𝗢 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀

- Data Analytics
- Data Science 
- Python
- Javascript
- Cybersecurity
 
𝐋𝐢𝐧𝐤 👇:- 

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Enroll For FREE & Get Certified🎓

Learn for free:

HTML: html.com
CSS: web.dev/learn/css
JavaScript: t.me/javascriptresourcestp
React: react-tutorial.app
API: rapidapi.com/learn
Python: t.me/pythonresourcestp
SQL: t.me/sqlresourcestp
Git: git-scm.com/book

✅ List and Set in Java Collections Framework :

🔅 LIST :

🔸 List in Java provides the facility to maintain the ordered collection.

🔹 It contains the index-based methods to insert, update, delete and search the elements.

🔸 It can have the duplicate elements also.

🔹 We can also store the null elements in the list.

🔅 SET :

🔸 Set interface in Java is present in jave.util package.

🔹It extends the Collection interface.

🔸 It represents the unordered set of elements which doesn't allow us to store the duplicate items.

🔹 We can store at most one null value in Set.

🔸 Set is implemented by HashSet, LinkedHashSet and TreeSet.

Java BackEnd Development: https://t.me/javaresourcestp/22

Java Developer Interview: https://t.me/javaresourcestp/29

All the best 👍👍

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DevOps Tools

Some of the best and most recent Machine Learning Courses available on YouTube.

Hot topics:

1. Stanford CS229: Machine Learning

2. Practical Deep Learning for Coders (2020)

3. Deep Unsupervised Learning

4. Advanced NLP

5. Deep Learning for Computer Vision

6. Deep Reinforcement Learning

7. Full Stack Deep Learning

8. Self-Driving Cars (Tübingen)

GitHub Link: https://github.com/dair-ai/ML-YouTube-Courses

Machine Learning Free Book: https://t.me/MLResourcesTP/16

Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Here we have compiled a list of 40 cheat sheets that cover a wide range of topics essential for you. 👇

List of 40+ Cheat Sheets

1. HTML & CSS :- htmlcheatsheet.com
2. JavaScript :- https://quickref.me/javascript
3. Jquery :- https://oscarotero.com/jquery/
4. Bootstrap 5 :- https://lnkd.in/dNZ6qdBh
5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx
6. React :- https://t.me/javascriptresourcestp/460
7. Python :- https://t.me/pythonresourcestp/71
8. MongoDB :- https://lnkd.in/dBXxCQ43
9. SQL :- https://t.me/sqlresourcestp/8
10. Nodejs :- https://lnkd.in/dwry8BKH
11. Expressjs :- https://quickref.me/express
12. Django :- https://lnkd.in/dYWQKZnT
13. PHP :- https://quickref.me/php
14. Google Dork :- https://lnkd.in/dKej3-42
15. Linux :- https://lnkd.in/dCgH_qUq
16. Git :- https://t.me/techpsyche/131
17. VSCode :- https://quickref.me/vscode
18. Deep Learning :- https://t.me/mlresourcestp/5
19. Data Structures and Algorithms :- https://lnkd.in/d75ijyr3
20. DSA Practice :- https://lnkd.in/dDc6SaR8
21. Data Science :- https://lnkd.in/dHaxPYYA
22. Flask :- https://lnkd.in/dkUyWHqR
23. CCNA :- https://lnkd.in/dE_yD6ny
24. Cloud Computing :- https://lnkd.in/d9vggegr
25. Machine Learning :- https://t.me/mlresourcestp/9
26. Windows Command :- https://lnkd.in/dAMeCywP
27. Computer Basics :- https://lnkd.in/d9yaNaWN
28. MySQL :- https://lnkd.in/d7iJjSpQ
29. PostgreSQL :- https://lnkd.in/dDHQkk5f
30. MSExcel :- https://t.me/dataanalysisresourcestp/92
31. MSWord :- https://lnkd.in/dAX4FGkR
32. Java :- https://lnkd.in/dRe98iSB
33. Cryptography :- https://lnkd.in/dYvRHAH9
34. C++ :- https://lnkd.in/d4GjE2kd
35. C :- https://lnkd.in/diuHU72d
36. Resume Creation :- https://t.me/techpsyche/495
37. ChatGPT :- https://t.me/airesourcestp/73
38. Docker :- https://lnkd.in/dNVJxYNa
39. R Programming :- datacamp.com/cheat-sheet/getting-started-r
40. AngularJS :- https://v17.angular.io/guide/cheatsheet

Find More Tips & Resources Here:
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Python Roadmap

SQL Commands

Many people charge too much to teach SQL, but my mission is to break down barriers. I have shared complete learning series to learn SQL from scratch.

Here are the links to the SQL series

Complete SQL Topics for Data Analyst: https://t.me/sqlresourcestp/83

Part-1: https://t.me/sqlresourcestp/58

Part-2: https://t.me/sqlresourcestp/59

Part-3: https://t.me/sqlresourcestp/60

Part-4: https://t.me/sqlresourcestp/61

Part-5: https://t.me/sqlresourcestp/62

Part-6: https://t.me/sqlresourcestp/63

Part-7: https://t.me/sqlresourcestp/64

Part-8: https://t.me/sqlresourcestp/65

Part-9: https://t.me/sqlresourcestp/66

Part-10: https://t.me/sqlresourcestp/67

Part-11: https://t.me/sqlresourcestp/68

Part-12: https://t.me/sqlresourcestp/71

Part-13: https://t.me/sqlresourcestp/72

Part-14: https://t.me/sqlresourcestp/73

Part-15: https://t.me/sqlresourcestp/74

Part-16: https://t.me/sqlresourcestp/75

Part-17: https://t.me/sqlresourcestp/76

Part-18: https://t.me/sqlresourcestp/77

Part-19: https://t.me/sqlresourcestp/80

Part-20: https://t.me/sqlresourcestp/81

Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.

Complete Excel Topics for Data Analysts: https://t.me/dataanalysisresourcestp/93

Here you can find SQL Interview Resources👇
https://t.me/sqlresourcestp/40

Hope it helps :)

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20 Backend Project Ideas🔥

🔹API for a Task Management System
🔹To-Do List API
🔹Blog Platform
🔹Markdown Note-taking App
🔹Online Code Compiler API
🔹E-commerce API
🔹URL Shortening Service
🔹Chat Application Backend
🔹Web Scraper CLI
🔹Online Bookstore
🔹Social Media API
🔹Music Streaming App
🔹Fitness Workout Tracker
🔹Authentication and Authorization Service
🔹File Upload and Management System
🔹Recipe Sharing Platform
🔹Event Booking System
🔹Expense Tracker API
🔹Weather Forecast Service
🔹Online Food Ordering System

FullStack Project Ideas: https://t.me/webdevresourcestp/31

Python Project Ideas: https://t.me/pythonresourcestp/74

Web Development Project Ideas: https://t.me/webdevresourcestp/40

Make sure to scroll through the above messages 💝 you will definitely find more interesting things 🤠

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