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Job description
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Qualifications: Bachelorโs Degree/ PG/ MBA ๐
Salary: Upto 7.5 LPA (Expected) ๐ฐ
Experience: 0 - 2 (Years) โ
Location: India ๐ฎ๐ณ
๐Apply Link: [KPMG Job Application](https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10011069?utm_medium=jobshare)
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KPMG India
Managed Services HR Ops-Execution Analyst
About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, andโฆ
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cognitiveclass.ai
Python for Data Science
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Upon its completion, you'llโฆ
๐ฅ6 Certifications to start your career in IT๐ฅ
1. CompTIA A+ - ๐ง This certification provides a general introduction to the IT world. You will be qualified to solve basic issues in networking, operating systems, security, and mobile devices. Potential jobs: Service desk analyst, technical support specialist, associate network engineer, desktop support administrator, system support specialist
2. Cisco Certified Network Associate (CCNA) - ๐ This is an associate-level certification that covers the fundamentals of IT networking issues, including network access, IP connectivity, and IP services. Potential jobs: Network specialist, network administrator, systems administrator, network engineer
3. AWS Cloud Practitioner - โ๏ธ This is designed to help you gain foundational AWS knowledge and can be great for those just starting out in IT. You can also consider other cloud certifications, like Microsoft Azure Fundamentals or the Google Associate Cloud Engineer certification. Potential jobs: Cloud engineering intern, cloud developer, cloud engineer, cloud architect
4. GIAC Information Security Fundamentals (GISF) - ๐ The GISF is a foundational certification for security and related concepts like networking, cryptography, and cybersecurity technologies. Potential jobs: Cybersecurity analyst, information security specialist, non-IT security manager
5. Google Cloud Digital Leader - ๐ This is Googleโs foundational cloud certification. The certification exam will test you broadly on basic Google Cloud principles. Studying the material in the Cloud Digital Leader certification exam can give you a solid foundation in Google Cloud.
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1. CompTIA A+ - ๐ง This certification provides a general introduction to the IT world. You will be qualified to solve basic issues in networking, operating systems, security, and mobile devices. Potential jobs: Service desk analyst, technical support specialist, associate network engineer, desktop support administrator, system support specialist
2. Cisco Certified Network Associate (CCNA) - ๐ This is an associate-level certification that covers the fundamentals of IT networking issues, including network access, IP connectivity, and IP services. Potential jobs: Network specialist, network administrator, systems administrator, network engineer
3. AWS Cloud Practitioner - โ๏ธ This is designed to help you gain foundational AWS knowledge and can be great for those just starting out in IT. You can also consider other cloud certifications, like Microsoft Azure Fundamentals or the Google Associate Cloud Engineer certification. Potential jobs: Cloud engineering intern, cloud developer, cloud engineer, cloud architect
4. GIAC Information Security Fundamentals (GISF) - ๐ The GISF is a foundational certification for security and related concepts like networking, cryptography, and cybersecurity technologies. Potential jobs: Cybersecurity analyst, information security specialist, non-IT security manager
5. Google Cloud Digital Leader - ๐ This is Googleโs foundational cloud certification. The certification exam will test you broadly on basic Google Cloud principles. Studying the material in the Cloud Digital Leader certification exam can give you a solid foundation in Google Cloud.
6. Certified Associate in Project Management (CAPM) - ๐ This certification is designed to prepare you for entry-level project management positions. The CAPM can be worth pursuing if you have a technical background and are hoping to move into a more project management-oriented role. Potential jobs: IT project manager, IT project coordinator
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๐ฅAirbus is hiring Data Analyst Intern๐ฅ
Qualifications: Bachelorโs/ Masterโs Degree ๐
Salary: Upto 13 LPA (Expected) ๐ฐ
Experience: Freshers ๐ฑ
Location: Bangalore, India ๐
๐Apply Link: [Airbus Internship](https://ag.wd3.myworkdayjobs.com/en-US/Airbus/job/Bangalore-Area/Intern_JR10240511) ๐
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Qualifications: Bachelorโs/ Masterโs Degree ๐
Salary: Upto 13 LPA (Expected) ๐ฐ
Experience: Freshers ๐ฑ
Location: Bangalore, India ๐
๐Apply Link: [Airbus Internship](https://ag.wd3.myworkdayjobs.com/en-US/Airbus/job/Bangalore-Area/Intern_JR10240511) ๐
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๐ฅHow to become Data Analyst In 2024 From Scratch๐ฅ
1.) Programming Skills:
Learn Python, a versatile language in data analysis. Resources like Codecademy, DataCamp, and official Python documentation can help. ๐
2.) Data Manipulation and Analysis:
Master the Pandas library for data manipulation. Explore official documentation and tutorials on platforms like Kaggle. ๐ผ
3.) Data Visualization:
Create static visualizations using Matplotlib and Seaborn. Explore documentation and examples for effective data representation. ๐
4.) Data Analysis Tools:
Acquire a solid understanding of SQL for querying and managing databases. Platforms like Mode Analytics, SQLZoo, and W3Schools offer interactive SQL exercises. ๐ผ
5.) Statistical Knowledge:
Strengthen your statistical foundation with resources like Khan Academy, Coursera, and edX. ๐
6.) Machine Learning Basics:
Familiarize yourself with basic machine learning concepts using Scikit-Learn. Online courses on Coursera or edX can be beneficial. ๐ค
7.) Data Cleaning and Preprocessing:
Learn data cleaning techniques using Pandas and other tools. Practice with real datasets from sources like Kaggle. ๐งน
8.) Version Control:
Understand version control using Git and create a GitHub account. Interactive tutorials on GitHub and resources like Atlassianโs Git tutorials can be helpful. ๐
9.) Communication Skills:
Develop the ability to communicate findings effectively. Books like โStorytelling with Dataโ by Cole Nussbaumer Knaflic can be valuable. ๐ฃ๏ธ
10.) Build a Portfolio:
Create a GitHub repository showcasing data analysis projects. Include clear documentation and explanations, demonstrating your skills and thought process. ๐
Remember, consistent practice and hands-on projects are crucial for skill development. Work on real-world datasets. ๐ฉโ๐ป
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1.) Programming Skills:
Learn Python, a versatile language in data analysis. Resources like Codecademy, DataCamp, and official Python documentation can help. ๐
2.) Data Manipulation and Analysis:
Master the Pandas library for data manipulation. Explore official documentation and tutorials on platforms like Kaggle. ๐ผ
3.) Data Visualization:
Create static visualizations using Matplotlib and Seaborn. Explore documentation and examples for effective data representation. ๐
4.) Data Analysis Tools:
Acquire a solid understanding of SQL for querying and managing databases. Platforms like Mode Analytics, SQLZoo, and W3Schools offer interactive SQL exercises. ๐ผ
5.) Statistical Knowledge:
Strengthen your statistical foundation with resources like Khan Academy, Coursera, and edX. ๐
6.) Machine Learning Basics:
Familiarize yourself with basic machine learning concepts using Scikit-Learn. Online courses on Coursera or edX can be beneficial. ๐ค
7.) Data Cleaning and Preprocessing:
Learn data cleaning techniques using Pandas and other tools. Practice with real datasets from sources like Kaggle. ๐งน
8.) Version Control:
Understand version control using Git and create a GitHub account. Interactive tutorials on GitHub and resources like Atlassianโs Git tutorials can be helpful. ๐
9.) Communication Skills:
Develop the ability to communicate findings effectively. Books like โStorytelling with Dataโ by Cole Nussbaumer Knaflic can be valuable. ๐ฃ๏ธ
10.) Build a Portfolio:
Create a GitHub repository showcasing data analysis projects. Include clear documentation and explanations, demonstrating your skills and thought process. ๐
Remember, consistent practice and hands-on projects are crucial for skill development. Work on real-world datasets. ๐ฉโ๐ป
Follow @techschoool for more such content..!!!โจ๏ธ
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๐1
SQL Projects List Save and share ๐คฉ
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๐3
L&T is hiring! ๐
Position: Graduate Engineer Trainee ๐
Qualification: Bachelorโs Degree ๐
Salary: 6.5 LPA (Expected) ๐ฐ
Batch: Recent Batches ๐
Experience: Freshers (0 - 1 Years) ๐ฑ
Location: Across India ๐ฎ๐ณ
Apply Link: [https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_G-GET_925373](https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_G-GET_925373) ๐
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Position: Graduate Engineer Trainee ๐
Qualification: Bachelorโs Degree ๐
Salary: 6.5 LPA (Expected) ๐ฐ
Batch: Recent Batches ๐
Experience: Freshers (0 - 1 Years) ๐ฑ
Location: Across India ๐ฎ๐ณ
Apply Link: [https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_G-GET_925373](https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_G-GET_925373) ๐
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โจ๏ธIf you want to land a Job at Netflix, Hotstar and Disney then you must work on the following projectsโจ๏ธ
1. Recommendation System:
๐ธCraft personalized viewing experiences by analyzing user preferences, ensuring you always find the perfect show or movie on Netflix, Hotstar, or Disney+. ๐ฟโจ
2. Audience Churn Prediction:
๐ธPredicting subscriber behavior to keep them engaged! Learn the secrets behind reducing churn and enhancing user retention strategies in the competitive world of streaming. ๐๐
3. Content Performance Analysis:
๐ธDive into the sea of numbers to understand what makes content click! Analyzing viewership metrics and feedback to shape the future of entertainment on OTT platforms๐๐ฌ
4. Movie Sales Visualization:
๐ธTransforming raw data into captivating visuals that drive decisions! Visualize movie sales data for a compelling narrative that resonates with audiences and executives alike. ๐๐ฅ
5. Marketing Campaign Insights Analysis:
๐ธDecoding the success behind the scenes! Analyzing marketing campaign data to unveil insights that drive strategic decisions for the biggest streaming platforms - Netflix, Hotstar, and Disney+. ๐ฃ
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1. Recommendation System:
๐ธCraft personalized viewing experiences by analyzing user preferences, ensuring you always find the perfect show or movie on Netflix, Hotstar, or Disney+. ๐ฟโจ
2. Audience Churn Prediction:
๐ธPredicting subscriber behavior to keep them engaged! Learn the secrets behind reducing churn and enhancing user retention strategies in the competitive world of streaming. ๐๐
3. Content Performance Analysis:
๐ธDive into the sea of numbers to understand what makes content click! Analyzing viewership metrics and feedback to shape the future of entertainment on OTT platforms๐๐ฌ
4. Movie Sales Visualization:
๐ธTransforming raw data into captivating visuals that drive decisions! Visualize movie sales data for a compelling narrative that resonates with audiences and executives alike. ๐๐ฅ
5. Marketing Campaign Insights Analysis:
๐ธDecoding the success behind the scenes! Analyzing marketing campaign data to unveil insights that drive strategic decisions for the biggest streaming platforms - Netflix, Hotstar, and Disney+. ๐ฃ
Do not forget to React on this Message for More Content Like this ๐
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