iamrupnath - Jobs & Internships Updates
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๐Ÿ’ป Let's learn Programming!
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Multiple Hiring Opportunity for Freshers (0-2 years)

Amazon is hiring for Software Development Engineer I
Expected Salary: 20-30 LPA
Apply here:https://jobfound.org/job/amazon-is-hiring-for-software-development-engineer-i-or-haryana-software-engineer

Razorpay is hiring for Software Development Engineer
Expected Salary: 15-25 LPA
Apply here:https://jobfound.org/job/razorpay-is-hiring-for-software-development-engineer-or-bangalore-software-engineer

MasterCard is hiring for Software Engineer I
Expected Salary: 8-15 LPA
Apply here:https://jobfound.org/job/mastercard-is-hiring-for-software-engineer-i-or-pune-software-engineer

Mediaocean is hiring for Associate Software Engineer (DevOps)
Expected Salary: 7-10 LPA
Apply here:https://jobfound.org/job/mediaocean-is-hiring-for-associate-software-engineer-devops-or-pune-software-engineer

Granicus is hiring for Generative AI Internship
Expected Salary: 4-6 LPA
Apply here:https://jobfound.org/job/granicus-is-hiring-for-generative-ai-internship-or-bengaluru-software-engineer

Edifecs is hiring for Associate Software Engineer
Expected Salary: 6-10 LPA
Apply here:https://jobfound.org/job/edifecs-is-hiring-for-associate-software-engineer-or-india-software-engineer

Icertis is hiring for Intern (AI- Engineering)
Expected Salary: 2-4 LPA
Apply here:https://jobfound.org/job/icertis-is-hiring-for-intern-ai-engineering-software-engineer

Hewlett Packard is hiring for Intern Hiring - FY-25
Expected Salary: 2-4 LPA
Apply here:https://jobfound.org/job/hewlett-packard-is-hiring-for-intern-hiring-fy-25-or-bangalore-software-engineer

๐Ÿ‘‰ Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
Companies List that are hiring 100% remote

https://www.linkedin.com/posts/rupnath-shaw_hiring-jobs-remote-activity-7238380264475770880-l-lo?utm_source=share&utm_medium=member_android

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Wipro Hiring Fresher Python Developer


Job Designation : Software Python Developer

Qualification : Bachelorโ€™s / Masterโ€™s Degree

Experience : Freshers

Skill Set :

- Excellent programming skills in Java and Python.
- Strong coding and troubleshooting skills in shell scripting and Python or Java.
- Expertise in Python API programming.
- Good knowledge of software development life cycle.
- Good knowledge on deployments, services, platform setup and optimization.


Apply Here : https://www.linkedin.com/posts/rupnath-shaw_wipro-hiring-fresher-python-developer-job-activity-7239537583494492160-FMk7/

๐Ÿ‘‰ Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
List of Free Coding Resources....!
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- ๐ŸŽฏHTML: ๐Ÿ‘‰ http://w3schools.com
- ๐ŸŽฏCSS: ๐Ÿ‘‰ http://css-tricks.com
- ๐ŸŽฏJavaScript: ๐Ÿ‘‰ http://javascript.info
- ๐ŸŽฏPython: ๐Ÿ‘‰ http://realpython.com
- ๐ŸŽฏTypeScript: ๐Ÿ‘‰ http://codecademy.com
- ๐ŸŽฏNext.js: ๐Ÿ‘‰ http://nextjs.org/learn
- ๐ŸŽฏGo: ๐Ÿ‘‰ http://learn-golang.com
- ๐ŸŽฏGit: ๐Ÿ‘‰ http://learngitbranching.com
- ๐ŸŽฏAPI: ๐Ÿ‘‰ http://freecodecamp.org
- ๐ŸŽฏJava: ๐Ÿ‘‰ http://javatpoint.com
- ๐ŸŽฏRuby: ๐Ÿ‘‰ http://rubyguides.com
- ๐ŸŽฏReact: ๐Ÿ‘‰ http://react.dev
- ๐ŸŽฏVue: ๐Ÿ‘‰ http://learnvue.com
- ๐ŸŽฏRuby on Rails: ๐Ÿ‘‰ http://railstutorial.org
- ๐ŸŽฏSQL: ๐Ÿ‘‰ http://codecademy.com
- ๐ŸŽฏMySQL: ๐Ÿ‘‰ http://mysqltutorial.org
- ๐ŸŽฏPostgreSQL: ๐Ÿ‘‰ http://postgresqltutorial.com
- ๐ŸŽฏSQL Server: ๐Ÿ‘‰ http://sqlservertutorial.com
- ๐ŸŽฏOracle: ๐Ÿ‘‰ http://oracletutorial.com
- ๐ŸŽฏMongoDB: ๐Ÿ‘‰ http://learn.mongodb.com
- ๐ŸŽฏREST: ๐Ÿ‘‰ http://restfulapi.net
- ๐ŸŽฏMicroservices: ๐Ÿ‘‰ http://dzone.com
- ๐ŸŽฏBackend: ๐Ÿ‘‰ http://theserverside.com
- ๐ŸŽฏDevOps: ๐Ÿ‘‰ http://theserverside.com
- ๐ŸŽฏFull Stack: ๐Ÿ‘‰ http://theodinproject.com
- ๐ŸŽฏCloud: ๐Ÿ‘‰ http://dzone.com
- ๐ŸŽฏDSA: ๐Ÿ‘‰ http://visualgo.net
- ๐ŸŽฏAccessibility: ๐Ÿ‘‰ http://web.dev

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Bank of America Recruitment of Fresher Software Engineer


Job Designation : Software Engineer


Qualification : BTech

Experience : Freshers

Skill Set :
- Sound knowledge of programming languages . Net, Java, Angular, React, Python etc.
- Familiar with UNIX programming and shell scripting.
- Good knowledge of Software development and testing skills.
- Good data structures knowledge โ€“ with some RDBMS programming skills.
- Sound knowledge of Devops and full stack development.


Apply Here : https://careers.bankofamerica.com/en-us/job-detail/24035812/software-engineer-i-b-gbs-ind-multiple-locations
IBM Fresher Backend Software Developer Recruitment

Job Designation : Software Backend Developer

Salary : 6 LPA โ€“ 10 LPA

Qualification : Bachelorโ€™s Degree

Experience : Freshers / Experienced

Skill Set :

- Strong programming knowledge in Java, COBOL, JCICS, Python, Golang.

- Sound knowledge of Agile Application Development & Scrum methodologies.

- Good understanding of Network Routing Protocols

- Experience with structured Architecture practices, hybrid cloud and Cloud Network

- Sound knowledge of Cloud Concepts โ€“ VPC, Subnet, Floating Ips.

๐Ÿ‘‰ ๐—๐—ผ๐—ถ๐—ป ๐˜๐—ต๐—ถ๐˜€ ๐˜„๐—ต๐—ฎ๐˜๐˜€๐—ฎ๐—ฝ๐—ฝ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ป๐—ฒ๐—น ๐—ณ๐—ผ๐—ฟ ๐—ก๐—ผ๐˜๐—ฒ๐˜€ : https://lnkd.in/dNen4H_z

Apply Here : https://www.linkedin.com/posts/rupnath-shaw_ibm-fresher-backend-software-developer-recruitment-activity-7246755916639809539-GO-p/
FREE AWS Cloud Computing Trainings.

Your gateway to a complete career transformation! ๐Ÿ‘‡๐Ÿ‘‡

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Top 8 Leetcode Articles to identify patterns in DSA

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Learn these concepts to master React JS โœ… ๐Ÿ‘‡

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Data Analytics

Data analytics is the process of examining data to draw conclusions, make informed decisions, and drive business growth. It involves various techniques, tools, and methodologies to transform raw data into actionable insights.

Types of Data Analytics:

1. Descriptive Analytics (what happened)
2. Diagnostic Analytics (why it happened)
3. Predictive Analytics (what might happen)
4. Prescriptive Analytics (what should happen)

Data Analytics Applications:

1. Business Intelligence (BI)
2. Customer Relationship Management (CRM)
3. Market Research
4. Operations Optimization
5. Healthcare Analytics
6. Financial Analysis
7. Cybersecurity

Data Analytics Tools:

1. Excel
2. Tableau
3. Power BI
4. Python libraries (Pandas, NumPy, Matplotlib)
5. R programming language
6. SQL
7. Machine Learning frameworks (TensorFlow, PyTorch)

Data Analytics Techniques:

1. Data Mining
2. Statistical Modeling
3. Data Visualization
4. Regression Analysis
5. Clustering
6. Decision Trees
7. Neural Networks

Career Paths in Data Analytics:

1. Data Analyst
2. Data Scientist
3. Business Analyst
4. Data Engineer
5. Data Architect
6. Quantitative Analyst
7. Marketing Analyst

Skills Required:

1. Mathematical and statistical knowledge
2. Programming skills (Python, R, SQL)
3. Data visualization expertise
4. Communication and storytelling
5. Business acumen
6. Analytical thinking
7. Problem-solving

Would you like to explore:

1. A specific data analytics tool or technique?
2. Real-world applications or case studies?
3. Career development in data analytics?
4. Data science and machine learning?

Let me know, and I'll provide more insights.
Here's a suggested 4-day, 2-hours-per-day step-by-step plan for revising Python for data analysis:

Day 1: Python Basics and Data Structures (2 hours)

1. Review Python basics (30 minutes):
- Variables, data types, operators
- Control structures (if/else, for loops, while loops)
- Functions
2. Data Structures (45 minutes):
- Lists: indexing, slicing, methods (append, extend, sort)
- Tuples: creation, indexing, slicing
- Dictionaries: creation, key-value pairs, methods (get, items, keys)
- Sets: creation, operations (union, intersection, difference)
3. Practice exercises (45 minutes):
- LeetCode, HackerRank, or (link unavailable) exercises

Day 2: NumPy, Pandas, and Data Manipulation (2 hours)

1. NumPy (45 minutes):
- Arrays: creation, indexing, slicing, operations (basic math, aggregation)
- Array methods (reshape, transpose, concatenate)
2. Pandas (45 minutes):
- DataFrames: creation, indexing, selecting data
- Data manipulation: filtering, grouping, sorting
- Merging and joining DataFrames
3. Practice exercises (30 minutes):
- Pandas tutorials, DataCamp exercises

Day 3: Data Visualization and File Handling (2 hours)

1. Data Visualization (45 minutes):
- Matplotlib: plotting basics, customizing plots
- Seaborn: visualization library, plotting distributions
2. File Handling (45 minutes):
- Reading and writing CSV files (pandas)
- Reading and writing Excel files (pandas)
- Handling JSON files (json library)
3. Practice exercises (30 minutes):
- Visualization exercises, DataCamp projects

Day 4: Data Analysis and Machine Learning (2 hours)

1. Data Analysis (45 minutes):
- Descriptive statistics (mean, median, mode)
- Inferential statistics (hypothesis testing)
- Data correlation and regression
2. Machine Learning (45 minutes):
- Scikit-learn: introduction, basic algorithms (linear regression, decision trees)
- Model evaluation metrics (accuracy, precision, recall)
3. Practice exercises (30 minutes):
- Scikit-learn tutorials, Kaggle competitions

Additional Tips:

- Practice with real-world datasets (e.g., UCI Machine Learning Repository)
- Use Jupyter Notebooks or Google Colab for interactive coding
- Review documentation and official tutorials for each library
- Join online communities (e.g., Reddit's r/learnpython, r/dataanalysis) for support

Resources:

- w3school
- DataCamp
- Kaggle
- UCI Machine Learning Repository

Stay focused, and you'll be well-prepared for data analysis with Python!

Would you like me to suggest specific exercises or projects?

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List of companies that Offering 12+ lakh/yr Base salary to Freshers๐Ÿง‘โ€๐Ÿ’ป

Companies List:๐Ÿ‘‡

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5 Certifications to Increase your package in 2025 ๐Ÿ‘‡๐Ÿ‘‡

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Data Analyst Roadmap.pdf
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Data Analyst Roadmap๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

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