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
๐ Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
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
๐ 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
Please give it a like for reaching a larger audience โค๏ธ
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Please give it a like for reaching a larger audience โค๏ธ
Here are the 50 JavaScript interview questions for 2024
https://www.linkedin.com/posts/rupnath-shaw_here-are-the-50-javascript-interview-questions-activity-7239125729584574464-g7mb?utm_source=share&utm_medium=member_desktop
ENJOY LEARNING ๐๐
https://www.linkedin.com/posts/rupnath-shaw_here-are-the-50-javascript-interview-questions-activity-7239125729584574464-g7mb?utm_source=share&utm_medium=member_desktop
ENJOY LEARNING ๐๐
Linkedin
Here are the 50+ JavaScript Interview Questions for 2024
1. What isโฆ | Rupnath Shaw
1. What isโฆ | Rupnath Shaw
Here are the 50+ JavaScript Interview Questions for 2024
1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference betweenโฆ
1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference betweenโฆ
Wipro Hiring Fresher Python Developer
Job Designation : Software Python Developer
Qualification : Bachelorโs / Masterโs 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/
๐ Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
Job Designation : Software Python Developer
Qualification : Bachelorโs / Masterโs 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/
๐ Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
List of Free Coding Resources....!
๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐
- ๐ฏHTML: ๐ http://w3schools.com
- ๐ฏCSS: ๐ http://css-tricks.com
- ๐ฏJavaScript: ๐ http://javascript.info
- ๐ฏPython: ๐ http://realpython.com
- ๐ฏTypeScript: ๐ http://codecademy.com
- ๐ฏNext.js: ๐ http://nextjs.org/learn
- ๐ฏGo: ๐ http://learn-golang.com
- ๐ฏGit: ๐ http://learngitbranching.com
- ๐ฏAPI: ๐ http://freecodecamp.org
- ๐ฏJava: ๐ http://javatpoint.com
- ๐ฏRuby: ๐ http://rubyguides.com
- ๐ฏReact: ๐ http://react.dev
- ๐ฏVue: ๐ http://learnvue.com
- ๐ฏRuby on Rails: ๐ http://railstutorial.org
- ๐ฏSQL: ๐ http://codecademy.com
- ๐ฏMySQL: ๐ http://mysqltutorial.org
- ๐ฏPostgreSQL: ๐ http://postgresqltutorial.com
- ๐ฏSQL Server: ๐ http://sqlservertutorial.com
- ๐ฏOracle: ๐ http://oracletutorial.com
- ๐ฏMongoDB: ๐ http://learn.mongodb.com
- ๐ฏREST: ๐ http://restfulapi.net
- ๐ฏMicroservices: ๐ http://dzone.com
- ๐ฏBackend: ๐ http://theserverside.com
- ๐ฏDevOps: ๐ http://theserverside.com
- ๐ฏFull Stack: ๐ http://theodinproject.com
- ๐ฏCloud: ๐ http://dzone.com
- ๐ฏDSA: ๐ http://visualgo.net
- ๐ฏAccessibility: ๐ http://web.dev
๐ ๐๐ผ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐๐๐ฎ๐ฝ๐ฝ ๐ฐ๐ต๐ฎ๐ป๐ป๐ฒ๐น ๐ณ๐ผ๐ฟ ๐ก๐ผ๐๐ฒ๐ : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
๐๐๐๐๐๐๐๐๐๐๐๐๐๐๐
- ๐ฏHTML: ๐ http://w3schools.com
- ๐ฏCSS: ๐ http://css-tricks.com
- ๐ฏJavaScript: ๐ http://javascript.info
- ๐ฏPython: ๐ http://realpython.com
- ๐ฏTypeScript: ๐ http://codecademy.com
- ๐ฏNext.js: ๐ http://nextjs.org/learn
- ๐ฏGo: ๐ http://learn-golang.com
- ๐ฏGit: ๐ http://learngitbranching.com
- ๐ฏAPI: ๐ http://freecodecamp.org
- ๐ฏJava: ๐ http://javatpoint.com
- ๐ฏRuby: ๐ http://rubyguides.com
- ๐ฏReact: ๐ http://react.dev
- ๐ฏVue: ๐ http://learnvue.com
- ๐ฏRuby on Rails: ๐ http://railstutorial.org
- ๐ฏSQL: ๐ http://codecademy.com
- ๐ฏMySQL: ๐ http://mysqltutorial.org
- ๐ฏPostgreSQL: ๐ http://postgresqltutorial.com
- ๐ฏSQL Server: ๐ http://sqlservertutorial.com
- ๐ฏOracle: ๐ http://oracletutorial.com
- ๐ฏMongoDB: ๐ http://learn.mongodb.com
- ๐ฏREST: ๐ http://restfulapi.net
- ๐ฏMicroservices: ๐ http://dzone.com
- ๐ฏBackend: ๐ http://theserverside.com
- ๐ฏDevOps: ๐ http://theserverside.com
- ๐ฏFull Stack: ๐ http://theodinproject.com
- ๐ฏCloud: ๐ http://dzone.com
- ๐ฏDSA: ๐ http://visualgo.net
- ๐ฏAccessibility: ๐ http://web.dev
๐ ๐๐ผ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐๐๐ฎ๐ฝ๐ฝ ๐ฐ๐ต๐ฎ๐ป๐ป๐ฒ๐น ๐ณ๐ผ๐ฟ ๐ก๐ผ๐๐ฒ๐ : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
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
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
Companies which hire freshers Off-Campus.
Check out there career pages๐๐
https://www.linkedin.com/posts/rupnath-shaw_companies-which-hire-freshers-off-campus-activity-7242748168436670464-KMlb/
Check out there career pages๐๐
https://www.linkedin.com/posts/rupnath-shaw_companies-which-hire-freshers-off-campus-activity-7242748168436670464-KMlb/
5 DSA Projects to Boost Your Resume๐๐ป
https://www.linkedin.com/posts/rupnath-shaw_dsaprojects-codingjourney-techresume-activity-7244913939673694209-yEVd
https://www.linkedin.com/posts/rupnath-shaw_dsaprojects-codingjourney-techresume-activity-7244913939673694209-yEVd
Don't Confuse to learn Node.js and Express.js
https://www.linkedin.com/posts/rupnath-shaw_dont-confuse-to-learn-nodejs-and-expressjs-activity-7246120968987824128-82Xe
https://www.linkedin.com/posts/rupnath-shaw_dont-confuse-to-learn-nodejs-and-expressjs-activity-7246120968987824128-82Xe
IBM Fresher Backend Software Developer Recruitment
Job Designation : Software Backend Developer
Salary : 6 LPA โ 10 LPA
Qualification : Bachelorโs 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.
๐ ๐๐ผ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐๐๐ฎ๐ฝ๐ฝ ๐ฐ๐ต๐ฎ๐ป๐ป๐ฒ๐น ๐ณ๐ผ๐ฟ ๐ก๐ผ๐๐ฒ๐ : https://lnkd.in/dNen4H_z
Apply Here : https://www.linkedin.com/posts/rupnath-shaw_ibm-fresher-backend-software-developer-recruitment-activity-7246755916639809539-GO-p/
Job Designation : Software Backend Developer
Salary : 6 LPA โ 10 LPA
Qualification : Bachelorโs 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.
๐ ๐๐ผ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ต๐ฎ๐๐๐ฎ๐ฝ๐ฝ ๐ฐ๐ต๐ฎ๐ป๐ป๐ฒ๐น ๐ณ๐ผ๐ฟ ๐ก๐ผ๐๐ฒ๐ : https://lnkd.in/dNen4H_z
Apply Here : https://www.linkedin.com/posts/rupnath-shaw_ibm-fresher-backend-software-developer-recruitment-activity-7246755916639809539-GO-p/
Here Are 7 Microsoft is Offering FREE Courses
1. Introduction to Machine Learning for Beginners
https://learn.microsoft.com/en-us/shows/machine-learning-for-beginners/
2. Microsoft AI Bootcamp for Educators
https://learn.microsoft.com/en-us/training/courses/msle-ai-bootcamp-fun
3. Create machine learning models
https://learn.microsoft.com/en-us/training/paths/create-machine-learn-models/
4. Understand data science for machine learning
https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/
5. PyTorch Fundamentals
https://learn.microsoft.com/en-us/training/paths/pytorch-fundamentals/
6. Train and evaluate deep learning models
https://learn.microsoft.com/en-us/training/modules/train-evaluate-deep-learn-models/
7. Fundamentals of Azure OpenAI Service
https://learn.microsoft.com/en-us/training/modules/explore-azure-openai/
1. Introduction to Machine Learning for Beginners
https://learn.microsoft.com/en-us/shows/machine-learning-for-beginners/
2. Microsoft AI Bootcamp for Educators
https://learn.microsoft.com/en-us/training/courses/msle-ai-bootcamp-fun
3. Create machine learning models
https://learn.microsoft.com/en-us/training/paths/create-machine-learn-models/
4. Understand data science for machine learning
https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/
5. PyTorch Fundamentals
https://learn.microsoft.com/en-us/training/paths/pytorch-fundamentals/
6. Train and evaluate deep learning models
https://learn.microsoft.com/en-us/training/modules/train-evaluate-deep-learn-models/
7. Fundamentals of Azure OpenAI Service
https://learn.microsoft.com/en-us/training/modules/explore-azure-openai/
FREE AWS Cloud Computing Trainings.
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Top 8 Leetcode Articles to identify patterns in DSA
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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.
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?
Join WhatsApp Channel - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
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?
Join WhatsApp Channel - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
List of companies that Offering 12+ lakh/yr Base salary to Freshers๐งโ๐ป
Companies List:๐
Acko โ
Adobe โ
Airbase โ
Airbnb โ
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Airtel X Labs โ
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Akamai โ
AlphaGrep โ
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Amagi โ
Amazon โ
American Express โ
Angel One โ
Ansys โ
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Apna โ
AppDynamics โ
Arcesium โ
Arista โ
Atlassian โ
AutoDesk โ
Auzmor โ
Avail Finance โ
Avalara โ
BCG โ
BNY Mellon โ
Bain & Company โ
Bankbazaar โ
Belzabar โ
Bharatpe โ
Bigbasket โ
Biofourmis โ
Blinkit โ
Blackbuck โ
BloomReach โ
Booking โ
Bright Money โ
Broadcom โ
Browserstack โ
Bukuwarung โ
Buyhatke โ
Byjus โ
C2FO โ
Cadence โ
CashFree โ
Chargebee โ
Chegg โ
Chronus Software โ
Cisco โ
Citi Bank โ
Citrix โ
Citymall โ
Clarisights โ
ClearQuote โ
ClearTax โ
ClearTrip โ
Cloootrack โ
Cloud Lending โ
Clumio โ
Credgenics โ
Codenation โ
Cogoport โ
Cohesity โ
Coinbase โ
Coinswitch โ
CommercelQ โ
Commvault โ
Confluent โ
CouchBase โ
Cred โ
Credit Suisse โ
Many more companies ๐๐
Join WhatsApp - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
Companies List:๐
Acko โ
Adobe โ
Airbase โ
Airbnb โ
Airbus โ
Airtel X Labs โ
Ajio โ
Akamai โ
AlphaGrep โ
Alphonso โ
Amagi โ
Amazon โ
American Express โ
Angel One โ
Ansys โ
Anthem โ
Apna โ
AppDynamics โ
Arcesium โ
Arista โ
Atlassian โ
AutoDesk โ
Auzmor โ
Avail Finance โ
Avalara โ
BCG โ
BNY Mellon โ
Bain & Company โ
Bankbazaar โ
Belzabar โ
Bharatpe โ
Bigbasket โ
Biofourmis โ
Blinkit โ
Blackbuck โ
BloomReach โ
Booking โ
Bright Money โ
Broadcom โ
Browserstack โ
Bukuwarung โ
Buyhatke โ
Byjus โ
C2FO โ
Cadence โ
CashFree โ
Chargebee โ
Chegg โ
Chronus Software โ
Cisco โ
Citi Bank โ
Citrix โ
Citymall โ
Clarisights โ
ClearQuote โ
ClearTax โ
ClearTrip โ
Cloootrack โ
Cloud Lending โ
Clumio โ
Credgenics โ
Codenation โ
Cogoport โ
Cohesity โ
Coinbase โ
Coinswitch โ
CommercelQ โ
Commvault โ
Confluent โ
CouchBase โ
Cred โ
Credit Suisse โ
Many more companies ๐๐
Join WhatsApp - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
5 Certifications to Increase your package in 2025 ๐๐
https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
Data Analyst Roadmap.pdf
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Data Analyst Roadmap๐ฅ๐ฅ๐ฅ
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