144 digital products for Data science

These are collection of Data Science domain interview questions and answers. I gathered these from various online sources during the initial days of my career. I still refer to these whenever I am preparing for interviews. This collection would be a one stop destination for your interview prep. Roles: Data Scientist, Data Analyst, Data Engineer, ML Engineer, AI

A beginner-friendly, 3-month roadmap designed to help non-tech individuals break into Data Science and AI. It covers the essential skills—from Python and statistics to machine learning and projects—using top resources from Coursera, edX, Kaggle, and more. 👥 Who This Helps: Perfect for career switchers, students, and working professionals from non-technical backgrounds who want a structured plan to confidently start their data journey.

🎉 Science Adventure Kids Event Form | Fun Student Signup Sheet | STEM Workshop Consent Form Welcome curious minds to the Games of Transformers! 🧪🚀 This colorful, science-themed participation form is perfect for kids' STEM events, school science fairs, workshops, or summer camps. Designed with engaging visuals and playful language, it captures young imaginations while collecting essential details from participants and their guardians. Fun and colorful science-themed form for kids to join STEM events. Includes participant info and parent consent section. Perfect for workshops and camps!

Build a strong base in data interpretation and analysis. This guide introduces essential methods for working with data, drawing insights, and supporting decisions across different roles and domains. Simple, practical, and beginner-friendly.

The Book covers everything for a Data Science Journey and covers the basic and advanced topics and interview questions for Python, SQL, Statistics, and Probability. The Book also included a cheat sheet for Python, Matplotlib, and Pandas. Have a look at the feedback for this E-book. Important Note The Ebook will be updated on a weekly basis Will be adding more Free resource cheatsheets as per the feedback. The E-book is Targeted for Intermediate/beginners. Why Would You Want to Learn Data Science? Data Science is an industry that is on track to be worth in excess of $100 BILLION by the end of 2024. it's also one of the most fun & creative careers in the world. You get to join the #1 industry for mixing technology and Products. If you like solving puzzles, building businesses & learning constantly, then Data Science is the place for you.Who am I To Teach Data Science? I worked as a Software Engineer for 3 years, and currently a Data Engineer. I've been in the Data Science industry for well over a year now, contributed over 150 blog posts, spoken at 50+ conferences, and currently have Post Graduation in Data Science from Macquarie University, Australia. What's Inside This eBook? This eBook is a complete introduction to Data Science for beginners, the chapters include Interview Guide, Expert Guide on Interview, Python Cheatsheets. If you are already an expert this will help you to learn the basics fast and Switch companies. This E-book has been purchased by 500+ People so far, really glad to see this. And best of all? It's only $25! now reduced the price to 1$ (Limited Time) Still, if you are a student you can reach out to me at to get the Book FREE. Though you can always chuck a few extra bucks my way if you really feel the need. In case you want to connect with me on Social Media: - Best Regards

This is a fully structured, exam-oriented preparation program for the UPPSC Polytechnic Lecturer (Computer Science) Exam. The course is designed to eliminate scattered preparation and give you one consolidated, syllabus-aligned resource covering both Paper 1 and Paper 2. This is not a crash course - it is a complete preparation ecosystem built strictly for selection-oriented study. 📊 Course Strength (Actual Numbers) 19 Subjects 209 Theory Chapters 7,449 MCQs (Chapter-wise) 95 Quick Revision Files(Flowcharts/Diagrams/Tables included) Numericals included where require Important Links Note: We have content in 3 formats - PDF, DOCX, MD Syllabus || Course Content → Demo PDF's - COA MCQs (Request Access for demo) | COA Quick Revision Table 📌 What you get inside this program: ✔ Paper 1 (Core Computer Science) Computer Organization & Architecture Data Structures Discrete Mathematics & Logic DBMS Design & Analysis of Algorithms Computer Networks Programming Languages Software Project Management Cyber Security ✔ Paper 2 (Advanced & Applied CS) Operating Systems Computer Graphics Artificial Intelligence Compiler Design Software Engineering Distributed Systems Web Technologies Image Processing Soft Computing High Performance Computing 🎯 Best suited for: Serious UPPSC Polytechnic Lecturer aspirants Candidates struggling with syllabus overload Working professionals preparing alongside job Aspirants who want concept + MCQ mastery Folder Structure Overview Subject/ ├── 01_Theory/ (Theory chapters) ├── 02_MCQs/ (Multiple choice questions) ├── 03_Revision (Flowcharts, tables, at a glance, revision notes, key points)/(Quick revision materials) └── 04_Numericals/ (Numerical problems - if applicable)

Discover an unparalleled resource with our 45+ Maths book collection tailored for data science enthusiasts: Depth & Breadth: Dive deep into mathematical concepts crucial for data science, spanning from basics to advanced topics. Expert Curation: Benefit from a meticulously curated selection of books authored by industry leaders, renowned researchers, and experienced practitioners. Practical Insight: Gain hands-on experience and real-world application through books designed to facilitate practical learning. Continuous Growth: Stay ahead of the curve with regular updates, ensuring access to the latest advancements and techniques in data science mathematics. Versatile Learning: Explore a variety of mathematical approaches and methodologies, enabling you to tackle diverse data science challenges. Flexible Learning Paths: Customize your learning journey by selecting books tailored to your skill level, interests, and specific areas of focus within data science. Comprehensive Reference: Use our library as a comprehensive reference guide, covering a wide spectrum of mathematical domains essential for data analysis and interpretation. Community Engagement: Join a vibrant community of learners, where you can exchange ideas, seek advice, and collaborate on mathematical problem-solving. Lifetime Access: Enjoy unlimited access to our growing collection of mathematics books, ensuring continuous learning and skill development in data science. In case you encounter any technical hiccups or have questions, our dedicated support team is here to assist. Reach out to us at and we'll ensure a swift resolution.

Data Structure Interview Questions Data Engineer

Embark on a transformative journey with the Data Power Pack—a comprehensive collection of datasets designed to immerse aspiring data scientists/Analysts in the intricacies of various industries. This curated compilation spans manufacturing, finance, Energy, and beyond, providing a rich tapestry of real-world challenges. Elevate your portfolio by delving into the depths of data science, mastering predictive maintenance, fraud detection, and more. Unleash the potential of your skills with tangible projects that go beyond theoretical knowledge, offering hands-on experience in solving complex problems. Key Features: Diverse Industries: Covering manufacturing, finance, Energy, and more, the dataset spans a wide array of industries, ensuring exposure to various real-world scenarios. Practical Challenges: Tackle hands-on challenges such as predictive maintenance, customer churn prediction, and sentiment analysis to hone your skills and showcase practical problem-solving abilities. Career-Relevant Projects: Impress potential employers by showcasing your proficiency in areas crucial to industries, from optimizing supply chains to enhancing customer satisfaction through personalized recommendation systems. Portfolio Enhancement: Elevate your portfolio by presenting projects that not only demonstrate technical proficiency but also highlight your ability to apply data science methodologies to address pressing business issues. Skill Mastery: Develop a nuanced understanding of data preprocessing, feature engineering, and model evaluation—essential skills for any data science professional. Unearth the potential within the Data Power Pack and embark on a journey that not only enhances your portfolio but also equips you with the skills to navigate the dynamic landscape of data science in the real world.

An easy-to-follow plan for mastering Data Science. From Python and SQL to Machine Learning, Deep Learning, and Business Storytelling, this roadmap provides the right mix of resources, timelines, and career guidance.

Extensive Library: Vast collection of 200+ of data analytics books. Organised: Topic wise folders for better retrieval In-Depth Knowledge: Diverse range of authors and perspectives. Diverse Range: Foundational concepts to advanced techniques. Expert Authors: Industry leaders, Researchers, and Practitioners. Practical Application: Resources for hands-on learning and real-world application. Reference Material: Comprehensive reference for various data science domains Topics Included: SQL Excel Tableau Multiple Interview Preparation Resources

If you want to kickstart your data analyst journey, look no further! This comprehensive roadmap tells you what needs to be done step by step such as: Skills needed (Syllabus) Best "free" resources Week by week schedule to complete it in 100 days Where to practise Projects to explore Sneak Peak: This covers SQL, Excel, Python, Tableau/PowerBI and Projects Don't forget to join my free Instagram community where I share Authentic job posts for referral Data Analytics/Science Interview Questions Tips and Tricks to build/advance career in analytics/science https://www.instagram.com/datawithhb/#

📊 Hitachi Contact Data We’re excited to share a highly filtered and valuable list for professionals looking to connect with key decision-makers! 🔢 Total Contacts: 33 📧 Email IDs Available: 31 Included in this data: ✅ Name ✅ Email ID ✅ LinkedIn ID ✅ Company Name ✅ Designation (HR, Talent Team, Lead Team, CHRO, Director, GM, etc.) 🌱 Plant the right seeds with your network – growth always follows. ✅ The more you're seen, the more you're remembered. 🔍 Note: This list has been carefully filtered by Team HikeSkills, focusing on professionals who have previously posted about vendor empanelment or hiring partnerships on LinkedIn. ⚠️ Disclaimer: If you're not already connected with these individuals, HikeSkills is not responsible for the response rate. We provide only high-quality, filtered data – not guaranteed conversions. — Team HikeSkills

📊Genpact Contact Data We’re excited to share a highly filtered and valuable list for professionals looking to connect with key decision-makers! 🔢 Total Contacts: 41 📧 Email IDs Available: 41 Included in this data: ✅ Name ✅ Email ID ✅ LinkedIn ID ✅ Company Name ✅ Designation (HR, Talent Team, Lead Team, CHRO, Director, GM, etc.) 🌱 Plant the right seeds with your network – growth always follows. ✅ The more you're seen, the more you're remembered. 🔍 Note: This list has been carefully filtered by Team HikeSkills, focusing on professionals who have previously posted about vendor empanelment or hiring partnerships on LinkedIn. ⚠️ Disclaimer: If you're not already connected with these individuals, HikeSkills is not responsible for the response rate. We provide only high-quality, filtered data, not guaranteed conversions. — Team HikeSkills

🚀 Welcome to the Complete Analytics & Data Science 1:1 Bootcamp by Rohith Raj R! 🚀 Unlock your full potential in the world of Python and Business Analytics with our comprehensive digital product. We've curated a powerful package to cater to all your learning needs and propel you towards excellence in Analytics and Data Science. Key Offerings: 1. 20+ Business Analytics & Data E-books (Top Publishers): Access a treasure trove of knowledge with e-books from top publishers. Our collection covers a wide range of Python and Data Analytics topics, ensuring you have a strong foundation. 2. Jupyter Notebooks with Solutions: Dive deep into practical learning with Jupyter Notebooks that accompany all SQL, Python and AI/ML topics. Each notebook comes with detailed solutions to reinforce your understanding. 3. Video Links for Must-Learn Concepts: Visualize and grasp complex concepts effortlessly with our curated video links. These videos cover essential topics, making your learning experience dynamic and engaging. 4. Complete Customized Roadmap: Tailored to your current Analytics skill level, our customized roadmap provides a clear path for your learning journey. Weekly topics and assignments keep you on track, ensuring steady progress. 5. Timely Feedback from Rohith Raj: Benefit from personalized guidance with timely feedback from Rohith Raj, an experienced mentor. Receive insights and suggestions to enhance your learning and address any challenges you encounter. 6. Interview Preparation Resources: Gear up for success with our interview preparation resources. Access topic lists, question banks on Analytics Consulting, SQL, Python, and ML to sharpen your skills and boost your confidence in technical interviews. 7. A Lifelong Repository of Python Content: With a wealth of Analytics content, this bootcamp provides everything you need to excel. Whether you're a beginner or an experienced coder, our content ensures continuous growth throughout your career. Why Choose Our Bootcamp? Comprehensive Learning: Cover all aspects of Business Analytics and Data Science with a holistic approach. Personalized Guidance: Benefit from a customized roadmap and timely feedback to maximize your learning potential. Practical Application: Apply theoretical knowledge with Jupyter Notebooks and solutions. Interview Ready: Equip yourself with interview preparation resources for Business and Data Analytics. Embark on your journey to becoming a Business Analytics and Data Science expert today! Join our Complete Analytics & Data Bootcamp on topmate.io and witness the transformation in your skills. 🌟

Here's what you get: This roadmap serves as your navigational tool through the data analytics domain, tackling the usual challenges and uncertainties that beginners often encounter. Data analytics is a complex field that intersects multiple disciplines. We have simplified this complexity into a focused and practical journey. The Roadmap Includes: A foundational understanding of data analytics, including common job roles and expected salaries. A comprehensive tutorial on using Python specifically for data analytics purposes. Core concepts in mathematics, probability, and statistics, which form the backbone of data analytics. Practical application of SQL for effective database management. The significance of data visualization and techniques to master it. An in-depth exploration of advanced SQL for nuanced data handling. Guidance on using Git & GitHub for managing data projects. Basics of cloud computing and its relevance for data analysts. Over 50 project ideas to apply and sharpen your data analytics skills. Strategies for keeping pace with the dynamic field of data analytics and its technological progress.

It has all the important concepts, with explanation, asked in Data Engineer interviews (best suitable for <~8 yoe). Includes: GCP, Spark, Hadoop, Hive, SQL, Data Modelling, DWH, Java DSA, Python, PySpark & Airflow These concepts are enough to prepare for Big Data Engineer / Developer Data Engineer / Senior Data Engineer GCP Data Engineer What Sets It Apart? ✅ Genuine interview experiences, ❌ NO recycled content. ✅ Concise & To-the-point explanations, ❌ NO long paragraphs. ✅ Tailored for real-world interview success. ✅ Indexed content for quick access. ✅ All users (who purchased) to get latest concepts by default. Use GCPDE10 coupon code to get 10% discount, only for first 20 purchase.

If you are interested in becoming a data analyst, but feel overwhelmed by the technical skills required, this "Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle" course is designed for you. You'll learn Excel, SQL, and Tableau - the essential tools for data analysis - and develop the skills to turn raw data into insights that drive better business decisions. In this course, you will: Develop advanced Excel skills to manipulate and analyze data Master SQL queries to extract data from databases Create stunning data visualizations in Tableau to communicate insights Learning these skills will allow you to excel as a data analyst, and open up new career opportunities. You'll practice real-world examples and complete hands-on exercises, so you can apply your new skills to real-world situations. This course is different because it offers a comprehensive, 3-in-1 bundle approach that covers all of the key skills required to become a successful data analyst. The course is also taught in an engaging and easy-to-understand format, so you can learn at your own pace and confidently apply your skills in the workplace. What makes us qualified to teach you? The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis. What is covered in this course? The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Tableau. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis. Let me give you a brief overview of the course Introduction: Course overview and objectives. Excel Basics: Introduction to Excel's interface and navigation. Essential Excel Functions: Key functions for data analysis. Data Tools: Tools for managing and manipulating data. Formatting Data and Tables: Techniques for enhancing spreadsheet appearance. Pivot Tables: Summarizing data for analysis. Excel Charts: Creating visual data representations. Pivot Charts: Visualizing Pivot Table data. Special Purpose Charts: Advanced chart types for specific data. Named Ranges: Simplifying data reference. Excel Shortcuts: Keyboard shortcuts for efficiency. Macros: Automating repetitive tasks in Excel. Advanced Excel: Exploring complex Excel features. Creative Infographics: Designing infographics with Excel data. SQL: Introduction to Structured Query Language. Installation and Getting Started: Setting up SQL software. Case Study Demo: Real-world SQL application. Fundamental SQL Statements: Essential SQL commands. Restore and Backup: Preventing data loss in databases. Selection Commands Filtering: Filtering data in SQL. Selection Commands Ordering: Sorting SQL query results. Alias: Temporary names in SQL queries. Aggregate Commands: Calculating data across rows. Group By Commands: Organizing data for aggregates. Conditional Statement: Logic in SQL queries. JOINS: Combining data from multiple tables. Subqueries: Nested queries for data retrieval. Views and Indexes: Simplifying queries and improving performance. String Functions: Manipulating string data in SQL. Mathematical Functions: Performing calculations in SQL. DateTime Functions: Handling date and time data. Pattern String Matching: Searching for specific patterns. Windows Functions: Calculating across related rows. COALESCE Function: Returning the first non-null value. Data Type Conversion Functions: Changing data types. User Access Control Functions: Managing database security. Nail That Interview: Tips for technical interview success. Performance Tuning Tips: Optimizing SQL queries. Database Basics: Fundamental database concepts. TABLEAU: Introduction to data visualization with Tableau. Installation and Getting Started: Setting up Tableau. Combining Data to Create Data Model: Integrating data sources. Data Categorization in Tableau: Organizing data for analysis. Most Used Charts: Commonly used Tableau charts. Customizing Charts Using Marks Shelf: Enhancing chart visuals. Other Important Charts: Additional useful chart types. Grouping and Filtering Data: Focusing data analysis in Tableau. Map Chart in Tableau: Visualizing geographical data. Calculations and Analytics: Performing calculations in Tableau. Sets and Parameters: Managing data subsets and variables. Dashboard and Story: Creating interactive data presentations. Appendix: Additional resources and references. Congratulations and About Your Certificate: Course completion and certification details. Thank you :)

This one-page guided worksheet helps you think like a scientist by: Noticing observations around you Asking curiosity-driven questions Running a quick mini experiment Reflecting and connecting ideas Adding a creative touch Special launch offer: Free for the first 10 downloads! After that, it will be available as a paid printable template. This sheet gives you a simple daily framework to spark inquiry and reflection. 📥 Download, print, and start your science journaling today!

Data includes - customer Name , Mobile Number, Address, This data is over all Operator data (Airtel, jio,idea and other operators) , 80% accuracy for More contact us at - +91 90309 38097 How to Purchase data - 1) below select purchase now, then in 2nd page 2) in 2nd page enter your details and pay 3) after payment you will get the drive link , you can download it

Dive into this comprehensive data engineering project that extracts stock market data from Yahoo Finance, processes it using AWS Batch and PySpark, and performs transformations with AWS Glue. Key Features: Data Ingestion from Yahoo Finance API Batch Processing with AWS Batch and Python Transformations using PySpark in AWS Glue Implementation of SCD Type 2 Failure Notification Pipeline End-to-End Orchestration for Stock Data Handling Ideal for aspiring data engineers and professionals seeking real-world project experience. GitHub Repository: https://github.com/Raiyankarim/Yahoo_Finance_DataEngineeering_Project

Unlock your future as a Data Analyst with a comprehensive and meticulously crafted roadmap, absolutely FREE for three months! My name is Harsh Gupta, a Professional Analyst at Target with a rich background in data analytics and a passion for educational empowerment. Embark on a transformative journey with a resource that's been praised for its clarity, depth, and practicality. Here's what you can expect from my Data Analyst Roadmap: **Step-by-Step Guidance:** Navigate your learning path with structured and easy-to-follow steps. **In-Depth Resources:** Access valuable materials covering advanced Excel, SQL, Tableau, R, SAS, Python, Power BI, and more. **Practical Applications:** Apply your knowledge through real-world datasets and case studies such as click stream data, cars data, inspections data, and others. **Skill Enhancement:** Gain expertise in critical areas like Data Analytics, Business Intelligence, Reporting, Automation, A/B Testing, and Hypothesis Building. This roadmap has been thoughtfully assembled with weeks of effort, ensuring it serves as an essential companion for your data analytics journey. While it is free, any amount you contribute via the "Pay As You Wish" option helps me continue creating and sharing such invaluable resources for the community. Imagine having a clear, structured route to mastering Data Analytics, backed by the insights and experiences of an industry expert who has navigated the same challenges and succeeded. "Harsh Gupta roadmap was a game changer for me. His extensive knowledge and compassionate support gave me the clear direction and confidence I needed to excel in my data analytics career." - Testimonial Take advantage of this opportunity to elevate your career and skillset with a roadmap that's designed to make you thrive without costing a fortune. Download your FREE Data Analyst Roadmap today and embark on a journey towards expertise and career success!

Unlock the power of data in just 1:43 minutes! This is the recording of my most-loved class for anyone looking to quickly grasp the essentials of Exploratory Data Analysis (EDA) and key Pre-EDA considerations. What you’ll learn: ✅ What is Data? - The definition you have never heard ✅ Types of Data vs. Data Types ✅ Pre-EDA Mindset & Tips ✅ 3 Parts of EDA Explained ✅ Python Hands-on Demo Perfect for beginners or anyone wanting a quick, clear refresher. Includes a free downloadable cheat sheet + code snippets to help you apply what you learn right away. Language- Nepali Time - 1:43 minutes Headphone recommended.

As a data analyst, you may encounter situations where clients report discrepancies in the data displayed on their dashboards. These discrepancies often arise due to missing or incorrect data entries. In this guide, I will walk you through a real-world scenario where you receive a complaint about dashboard numbers not matching the raw data numbers. What to Expect: Understanding the Card Domain: Learn about the card domain in general, including what terms like Mkcid mean and how they are used. Developing Logic for Data Comparison: Learn how to develop logic to build a unique key and compare data accurately. Automation with Python: While this project can be done using Excel or other methods, as a data analyst, you will build a custom Python code to automate the process, making it reusable for future needs. Once you purchase this project, you will be added to a dedicated Slack group where you can ask any questions and receive support related to the project.