Free Python Certification Course by Google

Link - https://www.kaggle.com/learn/python

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Learn data science with this simple steps👇👇

✨️YouTube Channel✨️

- Python: Corey Schafer
- SQL: Joey Blue
- Excel: ExcellsFun
- PowerBI: Guy in a Cube
- Tableau: Tableau Tim
- Mathematics: 3Blue1Brown
- Statistics: StatQuest
- Data Analyst: AlexTheAnalyst
- ML, DL: sentd


💥Books 📚 💥

• Python for Data Analysis

⛳️ by Wes McKinney

• Hands-On Machine Learning

⛳️ by Aurélien Géron

• The Art of Data Science

⛳️ by Roger D. Peng and Elizabeth M.

Data Science from Scratch

⛳️ by Joel Grus


⚡️Podcasts 👩🏻‍🎓⚡️

• Data Science at Home

• Talking Machines

• O'Reilly Data Science Podcast

• Linear Digressions

• DataFramel

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Intel Work From Home(Hybrid) Internship Program 2024

Role :-  Graduate Technical Intern

Experience:- Student

Work Mode:- Hybrid

Qualification :- Pursuing BE/B Tech or ME/M Tech

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🏆Journey to Data Analyst in 2024: A Step-by-Step Guide!👇

Before you start reading follow us & save this so you can check it later ✅

1️⃣ Lay the Groundwork: Start by solidifying your foundation in Excel, SQL, and essential statistics.

2️⃣ Embrace Coding: Immerse yourself in Python for handling and analyzing data.

3️⃣ Dive into Reality: Gain practical experience by working on genuine datasets, and consider participating in Kaggle competitions for hands-on learning.

4️⃣ Elevate Visualization Skills: Bring data to vibrant life using tools like Tableau or Power BI for impactful presentations.

5️⃣ Grasp Machine Learning Essentials: Develop a foundational understanding to set yourself apart in the field.

6️⃣ Assemble a Stellar Portfolio: Showcase your expertise and projects to highlight your skills effectively.

7️⃣ Connect and Learn: Engage with the data analytics community by joining groups and attending events to stay informed and inspired.

8️⃣ Strategize Applications: Tailor your resume to match analytics roles intelligently, maximizing your chances of success

All the best!

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👉 If you're having difficulty with the first round (Aptitude) of your interviews, these Aptitude Topics might be helpful for you. Would you like me to locate and provide some topics for on aptitude tests? 🙌🏻

🚀 Here the direct links for RESOURCES 📌

1.aptitudeacademy

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2.CareerRide

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4. Study Smart

https://youtube.com/@StudySmartOfficial?si=wO4mmkn3Do4TYvlH

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Accenture is hiring for 2024

Job Position:- Associate Software Engineer – Packaged App Development

Salary Package:- 4.5 LPA To 5.5 LPA

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Google Summer Internship Program 2024

Role:- Software Engineering Intern

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Please complete your application before Feb 14, 2024.

NOTE :- Summer Internships start in May/June 2024 and are 10-12 weeks in duration

Explore essential Python insights for data science interviews! 🐍🔍 Uncover key answers to:

1. List vs. Tuple: Grasp the distinctions in data structures.
2. Handling Null Values: Master Python techniques for datasets.
3. Function vs. Method: Understand the nuances in Python.
4. Removing Duplicates: Explore efficient list operations.
5. Shallow vs. Deep Copy: Navigate the complexities of copying.
6. Visualizing Large Datasets: Harness Python's visualization power.
7. Recursion Concept: Embrace recursive thinking with a Python twist.
8. Supervised vs. Unsupervised Learning: Decode machine learning paradigms.
9. Outlier Handling: Tackle dataset anomalies using Python.
10. Lambda Functions: Unveil the simplicity and power of Python's lambda.

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Elevate your Python game for data science success! 🚀📊

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Cognizant Mega Recruitment Drive 2024
 
Job Location:- Bengaluru, Chennai, Kolkata

Job Position:- Graduate Trainee

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✨️Roadmap to Master SQL in 20 Days 🔥✨

Week 1:

📅 Days 1-5:
- Select: Master selecting data
- Where: Filter with conditions
- Functions: Utilize built-in functions
- Alias: Rename columns
- Like: Pattern matching

Week 2:

📅 Days 6-10:
- Order by: Sort results
- Group by: Group data
- Create: Build tables
- Drop: Remove tables
- Truncate: Clear tables
- Limit: Limit result set

Week 3:

📅 Days 11-15:
- Join: Combine tables
- Union All: Merge results
- Alter: Modify tables
- Add: Add columns
- Update: Modify data
- Insert Into: Insert new data

Week 4:

📅 Days 16-20:
- With: Common Table Expressions
- Subquery: Nested queries
- Case: Conditional logic
- Operators: Logical and arithmetic operations
- Procedures: Stored procedures
- Exists: Check for existence

All the best on your SQL journey! 🔥💻

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Become an Industry Python Developer

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💥Top 10 most asked SQL Therory Questions 🚀

SQL and Its Purpose:
SQL (Structured Query Language) is like the maestro of databases, orchestrating data management with its programming prowess. 🎶 Its primary gig? Interacting with databases for data retrieval, updates, and overall data magic.

2. SQL vs. NoSQL:
SQL databases are the neat freaks with structured schemas, while NoSQL databases are the free spirits, embracing unstructured data. SQL loves tables, NoSQL swings with documents, key-values, wide columns, and even graphs. 🔄

3. Database and Types:
Picture a database as a well-organized data party. There's SQL, NoSQL, object-oriented, and more, each bringing its own flavor to the gathering. 🎉

4. DBMS:
DBMS, the unsung hero in the data realm, manages databases, offering a smooth interface for users and applications to mingle with the data dance floor. 💃🕺

5. SQL Comments:
In SQL, comments play the backstage role. Single-line comments go '—', while multi-line comments prefer the '/* */' style. 🎭

6. SQL Joins:
SQL Joins? Think of them as the matchmakers, combining rows from different tables. INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN—each with its own matchmaking style. 💑

7. Join Differences:
INNER JOIN, the matchmaker, LEFT JOIN brings all from the left and matching from the right, RIGHT JOIN does the opposite, and FULL OUTER JOIN invites everyone to the party. 🎉💔

8. GROUP BY Clause:
GROUP BY is the organizer, grouping rows based on a column. SELECT department, AVG(salary) FROM employees GROUP BY department;—the VIP section of SQL. 🏰👑

9. HAVING Clause:
HAVING is the bouncer, filtering results of aggregate functions in a GROUP BY query based on a condition. Strict, but fair. 🚷

10. Aggregate Function Query:
Example query for the average, sum, and count: SELECT AVG(column), SUM(column), COUNT(column) FROM table;—where SQL becomes the maestro again, conducting data symphonies. 🎻📊

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🔍 JAVA INTERVIEW QUESTIONS

❓ Can we overload the main() method? 🔄

✅ Yes, we can have multiple methods with the name "main" in a single class. However, if we run the class, the java runtime environment will look for the main method with syntax as public static void main(String args[]). 🏃‍♂️

❓ Can we have multiple public classes in a java source file? 🤔

✅ We can't have more than one public class in a single java source file. A single source file can have multiple classes that are not public. 📄

❓ What is a Java Package and which package is imported by default? 📦

✅ Java package is the mechanism to organize the java classes by grouping them. The grouping logic can be based on functionality or modules based. A java class fully classified name contains package and class name.

For example, java.lang.Object is the fully classified name of Object class that is part of java.lang package.

The java.lang package is imported by default and we don't need to import any class from this package explicitly. 🛍️

❓ What are access modifiers in Java? 🛡️

✅ Java provides access control through public, private and protected access modifier keywords. When none of these are used, it's called default access modifier.

A java class can only have public or default access modifier. Read Java Access Modifiers to learn more about these in detail. 📘

❓ What is a final keyword? 🔒

✅ The final keyword is used with Class to make sure no other class can extend it. For example, the String class is final and we can't extend it..

We can use the final keyword with methods to make sure child classes can't override it.

Java's final keyword can be used with variables to make sure that it can be assigned only once. However the state of the variable can be changed, for example, we can assign a final variable to an object only once but the object variables can change later on.

Java interface variables are by default final and static. 🎯

❓ What is a static keyword? 🚀

✅ The static keyword can be used with class-level variables to make it global i.e all the objects will share the same variable.

We can use static keyword with methods also. A static method can access only static variables of class and invoke only static methods of the class. Read more in detail at java static keyword. 🌀

❓ What is finally and finalize in java? 🎉

✅ The finally block is used with try-catch to put the code that you want to get executed always, even if an exception is thrown by the try-catch block. finally block is mostly used to release resources created in the try block.

The finalize() is a special method in Object class that we can override in our classes. This method gets called by the garbage collector when the object is getting garbage collected. This method is usually overridden to release system resources when the object is garbage collected. 🧹

❓ Can we declare a class as static? 🏢

✅ We can't declare a top-level class as static however an inner class can be declared as static. If the inner class is declared as static, it's called a static nested class.

The static nested class is the same as any other top- level class and is nested for only packaging convenience.

Read more about inner classes at java inner class. 📦

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BlackBerry Internship Program 2024

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✨️JAVA VS PYTHON✨️

🚀Java:

1. Syntax: Complex, verbose code. 🧑‍💻

2. Speed: Faster due to bytecode compilation. 🎯

3. Memory Management: Automatic with garbage collector.⛳️

4. Libraries: Abundant enterprise-level frameworks (Spring, Hibernate).🧩

5. Community: Large, active suppor network.🔮

🚀Python:

1. Syntax: Simple, readable code.🎰

2. Speed: Slower, but ideal for rapid development.🎐

3. Memory Management: Uses garbage collection.🎲

4. Libraries: Rich ecosystem for data tasks (NumPy, Pandas).🧸

5. Community: Welcoming, beginner-friendly, strong support.🪢

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