How to start your career in data analysis for freshers ππ
1. Learn the Basics: Begin with understanding the fundamental concepts of statistics, mathematics, and programming languages like Python or R.
Free Resources: https://t.iss.one/pythonanalyst/103
2. Acquire Technical Skills: Develop proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI.
Free Data Analysis Books: https://t.iss.one/learndataanalysis
3. Gain Knowledge in Statistics: A solid foundation in statistical concepts is crucial for data analysis. Learn about probability, hypothesis testing, and regression analysis.
Free course by Khan Academy will help you to enhance these skills.
4. Programming Proficiency: Enhance your programming skills, especially in languages commonly used in data analysis like Python or R. Familiarity with libraries such as Pandas and NumPy in Python is beneficial. Kaggle has amazing content to learn these skills.
5. Data Cleaning and Preprocessing: Understand the importance of cleaning and preprocessing data. Learn techniques to handle missing values, outliers, and transform data for analysis.
6. Database Knowledge: Acquire knowledge about databases and SQL for efficient data retrieval and manipulation.
SQL for data analytics: https://t.iss.one/sqlanalyst
7. Data Visualization: Master the art of presenting insights through visualizations. Learn tools like Matplotlib, Seaborn, or ggplot2 for creating meaningful charts and graphs. If you are from non-technical background, learn Tableau or Power BI.
FREE Resources to learn data visualization: https://t.iss.one/PowerBI_analyst
8. Machine Learning Basics: Familiarize yourself with basic machine learning concepts. This knowledge can be beneficial for advanced analytics tasks.
ML Basics: https://t.iss.one/datasciencefun/1476
9. Build a Portfolio: Work on projects that showcase your skills. This could be personal projects, contributions to open-source projects, or challenges from platforms like Kaggle.
Data Analytics Portfolio Projects: https://t.iss.one/DataPortfolio
10. Networking and Continuous Learning: Engage with the data science community, attend meetups, webinars, and conferences. Build your strong Linkedin profile and enhance your network.
11. Apply for Internships or Entry-Level Positions: Gain practical experience by applying for internships or entry-level positions in data analysis. Real-world projects contribute significantly to your learning.
Data Analyst Jobs & Internship opportunities: https://t.iss.one/jobs_SQL
12. Effective Communication: Develop strong communication skills. Being able to convey your findings and insights in a clear and understandable manner is crucial.
Share with credits: https://t.iss.one/sqlspecialist
Hope it helps :)
1. Learn the Basics: Begin with understanding the fundamental concepts of statistics, mathematics, and programming languages like Python or R.
Free Resources: https://t.iss.one/pythonanalyst/103
2. Acquire Technical Skills: Develop proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI.
Free Data Analysis Books: https://t.iss.one/learndataanalysis
3. Gain Knowledge in Statistics: A solid foundation in statistical concepts is crucial for data analysis. Learn about probability, hypothesis testing, and regression analysis.
Free course by Khan Academy will help you to enhance these skills.
4. Programming Proficiency: Enhance your programming skills, especially in languages commonly used in data analysis like Python or R. Familiarity with libraries such as Pandas and NumPy in Python is beneficial. Kaggle has amazing content to learn these skills.
5. Data Cleaning and Preprocessing: Understand the importance of cleaning and preprocessing data. Learn techniques to handle missing values, outliers, and transform data for analysis.
6. Database Knowledge: Acquire knowledge about databases and SQL for efficient data retrieval and manipulation.
SQL for data analytics: https://t.iss.one/sqlanalyst
7. Data Visualization: Master the art of presenting insights through visualizations. Learn tools like Matplotlib, Seaborn, or ggplot2 for creating meaningful charts and graphs. If you are from non-technical background, learn Tableau or Power BI.
FREE Resources to learn data visualization: https://t.iss.one/PowerBI_analyst
8. Machine Learning Basics: Familiarize yourself with basic machine learning concepts. This knowledge can be beneficial for advanced analytics tasks.
ML Basics: https://t.iss.one/datasciencefun/1476
9. Build a Portfolio: Work on projects that showcase your skills. This could be personal projects, contributions to open-source projects, or challenges from platforms like Kaggle.
Data Analytics Portfolio Projects: https://t.iss.one/DataPortfolio
10. Networking and Continuous Learning: Engage with the data science community, attend meetups, webinars, and conferences. Build your strong Linkedin profile and enhance your network.
11. Apply for Internships or Entry-Level Positions: Gain practical experience by applying for internships or entry-level positions in data analysis. Real-world projects contribute significantly to your learning.
Data Analyst Jobs & Internship opportunities: https://t.iss.one/jobs_SQL
12. Effective Communication: Develop strong communication skills. Being able to convey your findings and insights in a clear and understandable manner is crucial.
Share with credits: https://t.iss.one/sqlspecialist
Hope it helps :)
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Practical Python Dat... by Ashwin Pajankar.pdf
4.8 MB
Practical Python Data Visualization
ΠΠ²ΡΠΎΡ: Ashwin Pajankar
ΠΠ²ΡΠΎΡ: Ashwin Pajankar
https_coderbooks_ruIntroduction_to_Data_Science_Data_Analysis_and.pdf
73.6 MB
Introduction to Data Science
ΠΠ²ΡΠΎΡ: Rafael A. Irizarry
ΠΠ²ΡΠΎΡ: Rafael A. Irizarry
30412264.pdf
2.5 MB
Introduction to Algorithms &
Data Structures 1
β Free Courses with Certificate:
https://t.iss.one/free4unow_backup
All the best ππ
Data Structures 1
β Free Courses with Certificate:
https://t.iss.one/free4unow_backup
All the best ππ
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πͺ Google Throws $75B Into the AI Arms Race β Who Can Keep Up?
Alphabet, Googleβs parent company, plans to pour a staggering $75 billion into infrastructure and innovation in 2025
π₯Google is working on new AI-powered Search experiences rolling out through 2025
π₯Gemini AI assistant will introduce "native ad concepts" (translation: AI-generated ads are coming)
π₯Gemini 2.0 just dropped, alongside Project Mariner, an AI agent that automates tasks in Chrome
π₯A brand-new Android XR mixed reality OS is in development
βοΈ Google Under Pressure from Regulators
The Department of Justice wants Google to break up Chrome, following a ruling that it operates a search and ad monopoly. If this goes through, it could reshape Googleβs entire business
Google is all-in on AI. Can it stay ahead in this race, or will regulatory battles and rising challengers slow it down?
Alphabet, Googleβs parent company, plans to pour a staggering $75 billion into infrastructure and innovation in 2025
π₯Google is working on new AI-powered Search experiences rolling out through 2025
π₯Gemini AI assistant will introduce "native ad concepts" (translation: AI-generated ads are coming)
π₯Gemini 2.0 just dropped, alongside Project Mariner, an AI agent that automates tasks in Chrome
π₯A brand-new Android XR mixed reality OS is in development
βοΈ Google Under Pressure from Regulators
The Department of Justice wants Google to break up Chrome, following a ruling that it operates a search and ad monopoly. If this goes through, it could reshape Googleβs entire business
Google is all-in on AI. Can it stay ahead in this race, or will regulatory battles and rising challengers slow it down?
Python Cheat sheet.pdf
1.2 MB
Python Cheat sheet.pdf
100 + Python Interview Questions For Programmers and Dev.pdf
483.9 KB
100 + Python Interview Questions For Programmers and Dev.pdf
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π
π«π¨π¦ ππππ ππ¨ πππ©π₯π¨π²π¦ππ§π: πππ² ππ€π’π₯π₯π¬ πππ«π¨π¬π¬ ππππ ππ§π ππ ππ¨π₯ππ¬.
π ππππ ππ§ππ₯π²π¬π (Avg salary for a fresher: 6-8 LPA)
1. Excel
2. SQL (80% of the interview will be on expertise in SQL)
3. Python (Basic to intermediate knowledge required)
4. Data visualization tool (Most common: Tableau/PowerBI)
5. Statistics (Basic to intermediate)
π ππππ πππ’ππ§ππ’π¬π (Avg salary for a fresher: 10-15 LPA)
1. Excel, SQL, Python, Tableau/PowerBI, Statistics (All data analyst skills)
2. Mathematics (Linear algebra, Calculus)
3. Machine learning (Scikit-learn: Supervised, Unsupervised, Recommender systems, Timeseries modelling)
4. Deep learning (TensorFlow, PyTorch)
5. NLP (NLTK, spacy, gensim)
π ππππ ππ§π π’π§πππ« (Avg salary for a fresher: 9-12 LPA)
1. Big data tools (Hadoop, Spark, Hive)
2. Python, Java or Scala
3. Data pipeline automation
4. SQL & NoSQL databases
5. ETL tools & Data warehousing (Apache Nifi, Talend, Airflow)
6. Cloud computing (AWS, Azure, GCP)
π ππ ππ§π π’π§πππ« (Avg salary for a fresher: 10-12 LPA)
1. Cloud platforms (AWS, Azure, GCP)
2. Machine learning
3. DevOps & CI/CD
4. Version control
5. Code optimization & Tuning
π ππππ©π¬ ππ§π π’π§πππ« (Avg salary for a fresher: 8-10 LPA)
1. CI/CD for ML Pipelines
2. Docker, Kubernetes & Container orchestration
3. Monitoring & Logging (Prometheus, Grafana, ELK stack: Elasticsearch, Logstash, Kibana)
4. Model versioning & Governance (MLflow, DVC)
5. Infrastructure as code (IaC): Teraform, CloudFormation, Ansible
6. API development & Integration
7. Automated testing for data validation, model performance & pipeline integrity
π ππππ ππ§ππ₯π²π¬π (Avg salary for a fresher: 6-8 LPA)
1. Excel
2. SQL (80% of the interview will be on expertise in SQL)
3. Python (Basic to intermediate knowledge required)
4. Data visualization tool (Most common: Tableau/PowerBI)
5. Statistics (Basic to intermediate)
π ππππ πππ’ππ§ππ’π¬π (Avg salary for a fresher: 10-15 LPA)
1. Excel, SQL, Python, Tableau/PowerBI, Statistics (All data analyst skills)
2. Mathematics (Linear algebra, Calculus)
3. Machine learning (Scikit-learn: Supervised, Unsupervised, Recommender systems, Timeseries modelling)
4. Deep learning (TensorFlow, PyTorch)
5. NLP (NLTK, spacy, gensim)
π ππππ ππ§π π’π§πππ« (Avg salary for a fresher: 9-12 LPA)
1. Big data tools (Hadoop, Spark, Hive)
2. Python, Java or Scala
3. Data pipeline automation
4. SQL & NoSQL databases
5. ETL tools & Data warehousing (Apache Nifi, Talend, Airflow)
6. Cloud computing (AWS, Azure, GCP)
π ππ ππ§π π’π§πππ« (Avg salary for a fresher: 10-12 LPA)
1. Cloud platforms (AWS, Azure, GCP)
2. Machine learning
3. DevOps & CI/CD
4. Version control
5. Code optimization & Tuning
π ππππ©π¬ ππ§π π’π§πππ« (Avg salary for a fresher: 8-10 LPA)
1. CI/CD for ML Pipelines
2. Docker, Kubernetes & Container orchestration
3. Monitoring & Logging (Prometheus, Grafana, ELK stack: Elasticsearch, Logstash, Kibana)
4. Model versioning & Governance (MLflow, DVC)
5. Infrastructure as code (IaC): Teraform, CloudFormation, Ansible
6. API development & Integration
7. Automated testing for data validation, model performance & pipeline integrity
π1
You can use ChatGPT to make money online.
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Promptβ "
2. Create Online Course Material:
Make detailed and educational online course content.
Promptβ "
3. Ghostwrite eBooks:
Use ChatGPT to write eBooks on different topics for online sale.
Promptβ "
4. Compose Music Reviews or Critiques:
Use ChatGPT to write detailed reviews of music, albums, and artists.
Prompt: "
5. Develop Mobile App Content:
Use ChatGPT to create mobile app content like descriptions, guides, and FAQs.
Prompt: "
6. Create Resume Templates:
Use ChatGPT to create diverse resume templates for various jobs.
Promptβ "I want to offer a range of professional resume templates on my website. Can you help me create five different templates, each tailored to a specific career field like IT, healthcare, and marketing?"
7. Write Travel Guides:
Use ChatGPT to write travel guides with tips and itineraries for different places.
Promptβ "I'm creating a travel blog about European cities. Can you help me write a comprehensive guide for first-time visitors to Paris, including must-see sights, local dining recommendations, and travel tips?"
8. Draft Legal Documents:
Use ChatGPT to write basic legal documents like contracts and terms of service.
Promptβ "I need to draft a terms of service document for my new e-commerce website. Can you help me create a draft that covers all necessary legal points in clear language?"
9. Write Video Game Reviews:
Use ChatGPT to write engaging video game reviews, covering gameplay and graphics.
Promptβ "I run a gaming blog. Can you help me write a detailed review of the latest [Game Title], focusing on its gameplay mechanics, storyline, and graphics quality?"
10. Develop Personal Branding Materials:
Use ChatGPT to help build a personal branding package, including bios, LinkedIn profiles, and website content.
Promptβ "I'm a freelance graphic designer looking to strengthen my personal brand. Can you help me write a compelling biography, update my LinkedIn profile, and create content for my portfolio website?"
ENJOY LEARNING ππ
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Promptβ "
I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?"2. Create Online Course Material:
Make detailed and educational online course content.
Promptβ "
I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?"3. Ghostwrite eBooks:
Use ChatGPT to write eBooks on different topics for online sale.
Promptβ "
I want to publish an eBook about healthy eating habits. Can you help me outline and ghostwrite the chapters, focusing on practical tips and easy recipes?"4. Compose Music Reviews or Critiques:
Use ChatGPT to write detailed reviews of music, albums, and artists.
Prompt: "
I run a music review blog. Can you help me write a detailed review of the latest album by [Artist Name], focusing on their musical style, lyrics, and overall impact?"5. Develop Mobile App Content:
Use ChatGPT to create mobile app content like descriptions, guides, and FAQs.
Prompt: "
I'm developing a fitness app and need help writing the app description for the store, user instructions, and a list of frequently asked questions."6. Create Resume Templates:
Use ChatGPT to create diverse resume templates for various jobs.
Promptβ "I want to offer a range of professional resume templates on my website. Can you help me create five different templates, each tailored to a specific career field like IT, healthcare, and marketing?"
7. Write Travel Guides:
Use ChatGPT to write travel guides with tips and itineraries for different places.
Promptβ "I'm creating a travel blog about European cities. Can you help me write a comprehensive guide for first-time visitors to Paris, including must-see sights, local dining recommendations, and travel tips?"
8. Draft Legal Documents:
Use ChatGPT to write basic legal documents like contracts and terms of service.
Promptβ "I need to draft a terms of service document for my new e-commerce website. Can you help me create a draft that covers all necessary legal points in clear language?"
9. Write Video Game Reviews:
Use ChatGPT to write engaging video game reviews, covering gameplay and graphics.
Promptβ "I run a gaming blog. Can you help me write a detailed review of the latest [Game Title], focusing on its gameplay mechanics, storyline, and graphics quality?"
10. Develop Personal Branding Materials:
Use ChatGPT to help build a personal branding package, including bios, LinkedIn profiles, and website content.
Promptβ "I'm a freelance graphic designer looking to strengthen my personal brand. Can you help me write a compelling biography, update my LinkedIn profile, and create content for my portfolio website?"
ENJOY LEARNING ππ
π1
Copy & paste these 7 ChatGPT prompts to create an irresistible Resume/CV π
Showcase your strengths. Turn applications into interview invites!
Use these 10 proven ChatGPT prompts:
π Prompt 1: ATS Keyword Optimizer
Analyze the job description for [Position] and my resume. Identify 10 crucial keywords. Suggest natural placements in my resume, ensuring ATS compatibility. Present results as a table with Keyword, Relevance Score (1-10), and Suggested Placement. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 2: Experience Section Enhancer
Optimize the bullet points for my most recent role as [Job Title]. Focus on achievements, skills utilized, and quantifiable results. Use strong action verbs. Present a before/after comparison with explanations for changes. Current job description: [Paste Current Bullets].
π Prompt 3: Skills Hierarchy Creator
Evaluate my skills for [Job Description]. Create a skills hierarchy with 3 tiers: core, advanced, and distinguishing skills. Suggest how to demonstrate each skill briefly. Present a visual skills pyramid with examples. My resume: [Paste Resume]. Job requirements: [Paste Requirements].
π Prompt 4: Professional Summary Crafter
Write a compelling professional summary for my resume for [Job Title]. Incorporate my unique value proposition, key skills, and career experience. Limit to 3-4 sentences. Provide 3 versions: conservative, balanced, and bold. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 5: Education Optimizer
Refine my education section for [Job Title]. Highlight relevant coursework, projects, or academic achievements. Suggest how to present ongoing education/certifications effectively. Provide a before/after version with explanations. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 6: Technical Skills Showcase
List my technical skills for [Industry/Role]. Create a visual representation (Described in Text) that organizes these skills by proficiency level and relevance to [Target Role]. Suggestion skills to acquire/improve. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 7: Positive Career Gap Framing
Write an explanation for my [X months/years] career gap between [Start Date] and [End Date]. Focus on growth, skills gained, and valuable experiences. Show how these enhance my fit for [Target Job Title]. Create 3 versions for resume, cover letter, and interview response. My resume: [Paste Resume]. Job description: [Paste Job Description].
Join for more: https://t.iss.one/aiindi
#aiprompt
Showcase your strengths. Turn applications into interview invites!
Use these 10 proven ChatGPT prompts:
π Prompt 1: ATS Keyword Optimizer
Analyze the job description for [Position] and my resume. Identify 10 crucial keywords. Suggest natural placements in my resume, ensuring ATS compatibility. Present results as a table with Keyword, Relevance Score (1-10), and Suggested Placement. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 2: Experience Section Enhancer
Optimize the bullet points for my most recent role as [Job Title]. Focus on achievements, skills utilized, and quantifiable results. Use strong action verbs. Present a before/after comparison with explanations for changes. Current job description: [Paste Current Bullets].
π Prompt 3: Skills Hierarchy Creator
Evaluate my skills for [Job Description]. Create a skills hierarchy with 3 tiers: core, advanced, and distinguishing skills. Suggest how to demonstrate each skill briefly. Present a visual skills pyramid with examples. My resume: [Paste Resume]. Job requirements: [Paste Requirements].
π Prompt 4: Professional Summary Crafter
Write a compelling professional summary for my resume for [Job Title]. Incorporate my unique value proposition, key skills, and career experience. Limit to 3-4 sentences. Provide 3 versions: conservative, balanced, and bold. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 5: Education Optimizer
Refine my education section for [Job Title]. Highlight relevant coursework, projects, or academic achievements. Suggest how to present ongoing education/certifications effectively. Provide a before/after version with explanations. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 6: Technical Skills Showcase
List my technical skills for [Industry/Role]. Create a visual representation (Described in Text) that organizes these skills by proficiency level and relevance to [Target Role]. Suggestion skills to acquire/improve. My resume: [Paste Resume]. Job description: [Paste Description].
π Prompt 7: Positive Career Gap Framing
Write an explanation for my [X months/years] career gap between [Start Date] and [End Date]. Focus on growth, skills gained, and valuable experiences. Show how these enhance my fit for [Target Job Title]. Create 3 versions for resume, cover letter, and interview response. My resume: [Paste Resume]. Job description: [Paste Job Description].
Join for more: https://t.iss.one/aiindi
#aiprompt
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