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Search results “Data analysis of a project”
Data Analysis of Uber trip data using Python, Pandas, and Jupyter Notebook
 
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https://github.com/mnd-af/src/blob/master/2017/06/04/Uber%20Data%20Analysis.ipynb
Views: 19450 MandarinaCS
Data Analysis with Python : Exercise – Titanic Survivor Analysis | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2qyTs1d]. This video introduces the Titanic disaster data set and discusses some exploratory analysis on the data. The aim of this video is to recap what you learned so far on a real data set, as well as show-case some data visualization examples. • Download the data set and understand the data structure • Extract some summary statistics from the data set • Visualize the data and find correlations between variables For the latest Application development video tutorials, please visit http://bit.ly/1VACBzh Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 20878 Packt Video
Beginner - Data Science Project
 
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The best way to learn data science and showcase your skills is by doing some actual projects – we learn best by doing. So, how do we choose a project to work on? Where do we start? One way to approach it is to first look at some career websites and find a few jobs in data science that you aspire to have in the future. Write down the skills, qualifications, day-to-day expectations, and overall job description from the jobs that interest you. This will give you the project “requirements” that you can work with to formulate a project. http://storybydata.com/data-science-learn-by-doing-global-super-store-project/
Views: 26949 Story by Data
How to Make a Data Science Project with Kaggle (AI Adventures)
 
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It can take a lot of tools to do data science, but Kaggle is a one-stop shop that provides all the tools to share and collaborate on data science projects. In the episode of AI Adventures, Yufeng is joined by Megan Risdal, product lead for datasets at Kaggle. They’ll teach you how to make a data science project with Kaggle, and more! Associated blog post → http://bit.ly/2u18Tyh Get started with Kaggle → https://kaggle.com/datasets Introduction to Kaggle Kernels → http://bit.ly/2z409xm [Dataset] LA County Health Code Violations → http://bit.ly/2MFwyvO [Kernel] Exploring LA County Health Code Violations → http://bit.ly/2KIBz6e Watch more AI Adventures → http://bit.ly/AIAdventures Subscribe to the Google Cloud Platform channel → http://bit.ly/GCloudPlatform
Views: 30305 Google Cloud Platform
Develop a Data Science Project | Solving a Data Science Problem | Data Science Tutorial | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) Watch sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=develop-datascience-project Data science is the study of the generalizable extraction of knowledge from data, yet the key word is science. Data Science is one of the most-sought after professions today. Universities across the world are offering courses in this discipline which stands testimony to this emerging profession. There are a very few professionals with the required skill and the demand for data scientists is racing ahead. The tutorial wil give a brief understanding about Data Science. The topics covered in the video: 1.Problem Statement 2.Variable Desriptions 3.Data EXploration 4.Data Cleaning and Preparation 5.Reading from Other Sources 6.Titanic Data Sets 7.Decision Trees and Random Forests 8.Build a Decision Tree 9.Build a Random Forest 10.Linear Regression 11.Logistic Regression 12.Machine Learning 13.Data Mining 14.Machine Learning and Data Mining Resources 15.Solving a Data Science Problem using R, Hadoop, Mahout Related Posts: http://www.edureka.co/blog/who-can-take-up-a-data-science-tutorial/?utm_source=youtube&utm_medium=referral&utm_campaign=develop-datascience-project http://www.edureka.co/blog/enroll-for-a-data-science-course/?utm_source=youtube&utm_medium=referral&utm_campaign=develop-datascience-project http://www.edureka.co/blog/types-of-data-scientists/?utm_source=youtube&utm_medium=referral&utm_campaign=develop-datascience-project http://www.edureka.co/blog/core-data-scientist-skills/?utm_source=youtube&utm_medium=referral&utm_campaign=develop-datascience-project Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. ‘Develop a Data Science Project’ have been widely covered in our course ‘Data Science’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 28562 edureka!
What a Typical Data Science Project Looks Like by Bowery Analytics
 
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Data analytics event in New York about what a typical data science project looks like. What does a typical Data Science Project look like? Explore the current Business Analytics Landscape: Get past the Jargon into actual business cases. Data Science is the newest hot trend in the world of business, but what does it really mean? Ania Wieczorek, the co-founder of Bowery Analytics, talked through a real use case what the project lifecycle looks like from a business perspective. She discussed specific steps a typical data science project goes through, the outputs you will see and the jargon being used. Ania is the co-founder of Bowery Analytics and has spent 15 years in the IT and data community both in the for-profit and non-profit sector. Ania has held numerous leadership roles in her career from establishing and managing the Project Management Office to her position as the Director of Technology Management at Easter Seals National Headquarters. She is excited to see organizations fulfill their mission with greater ease and better outcomes measurement while using effective and appropriate technology solutions that are not always one size fits all. She holds a B.S. in Business Administration and has also completed the coveted Project Management Professional (PMP) certification. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2yoE5fF Find out more about us: http://bit.ly/2xRvxNL 💻 ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2kpBo7w Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2xRvxNL 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Data Analysis & Discussion
 
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This video is meant to be used as an introductory lesson to Mini Research Writing focusing on Data Analysis and Discussion. As this is a mini class project, some of the requirements have been made simple due to time constraints. Plus, the focus of this mini research paper is to get students familiarized to the ways of writing an academic paper and the items that needs to be included. suitable for beginners!
Views: 19119 NurLiyana Isa
Final Year Projects 2015 | Twitter data analysis by means of Strong
 
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Including Packages ===================== * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 3285 Clickmyproject
Social Network and Data Analysis Project.
 
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My name is Tatjana. I am a final year student in CS&IT at National University of Ireland, Galway. This video is about my final year project. It briefly discusses my findings from my social network analysis and results from the scientific data set.
Views: 195 Tatjana Vasilevska
Data Analysis Project
 
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Views: 16 Lindsay Cain
Data Analysis Project
 
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Views: 23 Lucas Palm
Research Project: Data Analysis in SPSS
 
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Research Project: Data Analysis in SPSS
Data Analysis in R
 
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Here are two examples of numeric and non numeric data analyses. Both files are obtained from infochimps open access online database.
Views: 40007 Ani Aghababyan
Data Analysis Project
 
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Views: 412 Keri Louwerse
Social Media Analytics Tool  01: My Final Year Project
 
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Used Technology: Apache Hadoop , Apache Flume , javaFx & SceneBuilder 1. set up single node hadoop cluster on VmWare Workstation which has ubuntu OS. 2. set up Apache flume with hadoop cluster 3. install ecllipse EE ide 4. install Javafx & Scene Builder plug in to ecllipse 5. include all hadoop jar file to a new project to run hadoop pgm 6. include all flume jar file to that project to stream data from different sourses. 7. create a new javafx project and make windows with css & img file 8. write Apache Flume configuration file to download data from twitter source 9. write java code for downloading data from facebook using Facebook 4j API 10.write Hadoop Map-Reduce program to analyse tweets for their polarity(+ve , -ve ,neutral) and rate. 11. display that result in the form of Pie Chart, Scattered Chart, tag cloud and individual comments/tweets rating.
Views: 5295 ANKUR KUMAR
BIg Data Project Amazon Data Analysis
 
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The Amazon Product data set to be considered for this project is from Amazon, a well-known e-commerce giant. This is a very interesting project to get insights based analysis of product sales based on reviews and ratings.
Views: 207 Anunay Jha
End-To-End-Example: Data Analysis with Pandas
 
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In this end to end example we web scrape the HTML of this class schedule off of this website: https://ischool.syr.edu/classes/ into a pandas dataframe. From there we extract a feature column for which classes are Undergraduate versus Graduate, then we finish by finding the Undergraduate classes on Fridays or at 8AM. Like all End-To-End examples the program is written organically piece by piece until complete. I make mistakes and figure things out as I go. You can download the code for this example on GitHub: https://github.com/IST256/learn-python/tree/master/content/lessons/12/End-To-End-Example
Views: 4150 Michael Fudge
Data Analysis Project
 
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Views: 11 Yuri Vestil
Python For Data Analysis | Python Pandas Tutorial | Learn Python | Python Training | Edureka
 
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( Python Training : https://www.edureka.co/python ) This Edureka Python Pandas tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you learn the basics of Pandas. It also includes a use-case, where we will analyse the data containing the percentage of unemployed youth for every country between 2010-2014. This Python Pandas tutorial video helps you to learn following topics: 1. What is Data Analysis? 2. What is Pandas? 3. Pandas Operations 4. Use-case Check out our Python Training Playlist: https://goo.gl/Na1p9G Subscribe to our channel to get video updates. Hit the subscribe button above. #Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners #PythonProgramming #PythonPandas How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 143375 edureka!
Big Data Use Cases | Banking Data Analysis Using Hadoop | Big Data Case Study Part 1
 
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Big Data Use Cases: Banking Data Analysis Using Hadoop | Hadoop Tutorial Part 1 A leading banking and credit card services provider is trying to use Hadoop technologies to handle an analyse large amounts of data. Currently the organization has data in the RDBMS but wants to use the Hadoop ecosystem for storage, archival and analysis of large amounts of data. let’s get into the tutorial, Welcome to online Big Data training video conducted by Acadgild. This is the series of tutorial consists of real world Big Data use cases. In this project, you will be able to learn, • Understand the Project Requirement • What exactly the project is talking about • From where the data is coming • How the data is getting loaded into Hadoop, and • The different analysis that is performed with the Data Go through the entire video to understand the Big Data problems with finance departments and how to track the data. Enroll for big data and Hadoop developer training and certification to become successful Developer, https://acadgild.com/big-data/big-data-development-training-certification?utm_campaign=enrol-bigdata-usecase-part1-iQrao1C7juk_medium=VM&utm_source=youtube For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 23778 ACADGILD
Data Collection and Analysis for Project Monitoring and Evaluation
 
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Course instructor Felisa Tibbitts orients you to this four-week e-learning course. For more information: http://www.hrea.org/data-collection-and-analysis
Views: 2916 HREA Videos
Data Analysis Project
 
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Views: 54 Michael Voss
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 904749 David Langer
Final Project Overview - Data Analysis with R
 
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This video is part of an online course, Data Analysis with R. Check out the course here: https://www.udacity.com/course/ud651. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Views: 586 Udacity
4 Mistakes to Avoid in Your Data Analytics Projects
 
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Get cloud confident today! Download our free Cloud Migration Guide here: http://success.pragmaticworks.com/azure-everyday-cloud-resources In a survey of our customers who are using Big Data for analytics, we found clients who love it and some that don’t. These clients are having struggles that are leading them to thoughts of abandoning it. In this edition of Azure Every Day, I want to share a few of these challenges so you can identify them in your environment and hopefully avoid them.
Views: 393 Pragmatic Works
Examples of Big Data Projects
 
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http://zerotoprotraining.com This video explains examples of Big Data projects Category: Big Data Tags: Projects
Views: 17536 HandsonERP
Topics for Data Analysis Project | Topics for Data Analysis Thesis
 
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Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 65 matlab simulation
Chapter 7 Data Analysis Project
 
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Collect, Analyze, Present, Misrepresent
Views: 490 teachwoodtech
Data Mining Project - Analysis on Boston Housing Dataset
 
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In this video, I explain the analysis on the Boston Housing data set. For this analysis, I have built a decision tree model and checked for the model performance.
8 Data Science Projects in Banking & Finance
 
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Financial data analysis is as much a broad area as Finance. You can use it for managing/mitigating different types of financial risk, taking decisions on investment, managing portfolio, valuing assets etc. Below are a few beginner level projects you can try working on. 1- Build a Credit Scorecard Model - Credit scorecards are basically used to assess credit worthiness of customers. Use German Loan data-set (publicly available credit data) to build credit scorecard for customers. The data set has historical data on default status of 1000 customers and the different factors that are possibly correlated with the customer’s chances of defaulting such as salary age, marital status etc. and attributes of the loan contract such as term, APR rate etc. Build a classification model (using techniques like Logistic Regression, LDA, Decision Tree, Random Forest, Boosting, Bagging) to classify good and bad customers (default and non default customers) and use the model to score new customers in future and lend to customers that have a minimum score. Credit scorecards are heavily used in the industry for taking decisions on grating credit, monitoring portfolio, calculating expected loss etc. 2- Build a Stock Price Forecasting Model - These models are used to predict price of a stock or an index for a given time period in future. You can download stock price of any of the publicly listed companies such as Apple, Microsoft, Facebook, Google from Yahoo finance. Such data is known as uni-variate time series data. You can use ARIMA (AR, MA, ARMA, ARIMA) class of models or use Exponential Smoothing models. 3- Portfolio Optimization Problem - Assume you are working as an adviser to a high net worth individual who wants to diversify his 1 million cash in 20 different stocks. How would you advise him? you can find 20 least correlated stocks (that mitigates the risk) using correlation matrix and use optimization algorithms (OR algos) to find out how you would distribute 1million among these 20 different stocks. 4- Segmentation modelling - Financial services are increasingly becoming tailored made. Doing so helps banks in targeting customers in a in a more efficient way. How do banks do so? They use segmentation modelling to cater differently to different segments of customers. You need historical data on customer attributes & data on financial product/services to build a segmentation model. Techniques such as Decision Trees, Clustering are used to build segmentation models. 5- Revenue Forecasting - Revenue forecasting can be done using statistical analysis as well (apart from the conventional accounting practices that companies follow). You can take data for factors affecting revenue of a company or a group of companies for a set of periods of equal interval (monthly, Quarterly, Half year, annual) to build a regression model. make sure you correct for problem of auto-correlation as the data has time series component and the errors are likely to be correlated (that violates assumptions of regression analysis) 6- Pricing Financial Products : You can build models to price financial products such as mortgages, auto loans, credit card transactions etc. (pricing in this case would be charging right interest rate to account for the risk involved, earn profit from the contract and yet be competitive in the market). You can also build models to price forward, future, options, swaps (relatively more complicated though) 7- Prepayment models - Prepayment is a problem in loan contracts for banks. Use loan data to predict customers could potentially prepay. You can build another model in parallel to this to know if a customer prepays, when is he likely to prepay in the life time of the loan (time to prepay). You may also build a model to know how much loss the company would incur if a section of the portfolio of customer prepay in future. 8 - Fraud Model - These models are being used to know if a particular transaction is a fraudulent transaction. Historical data having details of fraud and non-fraud transactions can be used to build a classification model that would predict chances of fraud happening in a transaction. Since we normally have high volume of data, one can try not just relatively simpler models like Logistic Regression or Decision trees but also should try more sophisticated ensemble models. ANalytics Study Pack : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity
Views: 2565 Analytics University
PDS Project 1 - Airbnb Data Analysis
 
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Views: 122 Clarence Ngoh
Big Data Project: Yelp Data Analysis and Recommendation
 
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This is the demo video for the big data course project. The project is "Yelp Data Analysis and Recommendation".
Views: 847 Lan Yang
Data analysis, visualization project develops drilling engineers of the future
 
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Data analysis, visualization project develops drilling engineers of the future
Views: 391 DCMagazine
Big Data Use Cases | Music Data Analysis Using Hadoop | Big Data Case Study Part 8
 
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Big Data Use Cases | Music Data Analysis Using Hadoop | Big Data Case Study Part 8 Hello and welcome back to Big data use case videos, having said with the previous session, It’s an Hadoop Case Studies online tutorial on Music Data Analysis Using Hadoop. If you have missed the previous Sessions, click the following playlist links: Bank Data Analysis Using Hadoop - https://www.youtube.com/playlist?list=PLlz0muypSBNbWtzYeFgR4eexFBnmWDHuo Ecommerce Data Analysis Using Hadoop - https://www.youtube.com/playlist?list=PLlz0muypSBNZaStcJdRLT-Ee2u_yL2qYP Click the following link for queries, source code etc. https://acadgild.com/blog/big-data-training-with-real-projects/?utm_campaign=enrol-bigdata-usecase-part8-8ewDcIeVPn8_medium=VM&utm_source=youtube Use Case Description: A leading music catering company is planning to analyse the large amount of data received from various sources, namely mobile app and website to track the behavior of users, classify the users and calculate the song and make appropriate business strategies. The file server receives data files periodically after every 3 hours. In this Hadoop case study, you will understand, the music data analysis done using Hadoop. In this tutorial, you will also understand the project requirement as in, • What exactly is the project being about? • where the data is coming from? • How does the data look like? • The pre-possessive steps required? • What are different analysis that will be done on the data Go through the entire video to learn more. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 2415 ACADGILD
E6893 Final Project - Citi Bike Data Analysis
 
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Big Data Analytics Final Project demo video
Views: 699 Scenic
Final Project Data Analysis
 
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Ramon Reyes Cintron
Views: 75 Ramon Reyes
Science Fair Friday Week 10: Data Analysis & Graphing
 
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Week 10: Data Analysis & Graphing Both experimental & engineering projects should collect and analyze data and display data is clear graphs. This week we discuss how to analyze data through common statistical tests and create the right type of graph for the data. Science Fair Friday is a series of short videos we share once a week to help teachers, parents, and students understand the science and engineering fair process. Create-a-graph: https://nces.ed.gov/nceskids/createagraph/ Spreadsheet Assignment: https://docs.google.com/spreadsheets/d/1uoiiLWhlfEVTub9e5hCeTFRuSgmLyJw_0f_Y-3cSvSg/edit?usp=sharing For additional science fair resources visit: https://usef.utah.edu/
Sentiment Analysis of Twitter Data | Final Year Projects 2016
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 5945 Clickmyproject
Learn Data Science in 3 Months
 
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I've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline. Curriculum for this video: https://github.com/llSourcell/Learn_Data_Science_in_3_Months Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Week 1 - Learn Python - EdX https://www.edx.org/course/introduction-python-data-science-2 - Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU Week 2 - Statistics & Probability - KhanAcademy https://www.khanacademy.org/math/statistics-probability Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis - EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis Week 4 - Kaggle Project #1 Week 5-6 - Algorithms & Machine Learning - Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/ Week 7 - Deep Learning - Part 1 and 2 of DL Book https://www.deeplearningbook.org/ - Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 Week 8 - Kaggle Project #2 Week 9 - Databases (SQL + NoSQL) - Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197 - EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2 Week 10 - Hadoop & Map Reduce + Spark - Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617 - Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf Week 11 - Data Storytelling - Edx https://www.edx.org/course/analytics-storytelling-impact-1 Week 12- Kaggle Project #3 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/
Views: 147924 Siraj Raval
[Project for data analysis with python] - digital currency market analysis
 
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Data analysis with python / digital currency market /
Views: 22 JINYEONG PARK
OU CS5593 Project Presentation Los Angeles Crime Data Analysis
 
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This is presentation for my CS5593 Project OU Fall 2017 Alvy Chen
Views: 31 alvyxc
Project Data Analysis |  Movie Industry Analysis
 
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github : https://gearprn.github.io/MovieIndustryAnalysis/ website : https://github.com/gearprn/MovieIndustryAnalysis
Views: 13 Purinut Uomrod

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