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coding-sins-hilarious-developer-confessions-f55eb342454e"> <div> <div> <h2>Coding Sins: Hilarious Developer Confessions</h2> <div><h3>How ‘whiteboarding’ got mocked</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*JceCvoRHEHRXyHnb.jpeg)"></div> </div> </div> </a> </div><div id="b153" class="link-block"> <a href="https://readmedium.com/python-iterators-generators-and-decorators-made-easy-659cae26054f"> <div> <div> <h2>Python Iterators, Generators And Decorators Made Easy</h2> <div><h3>A Quick Implementation Guide</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*XtVnWXUTVVE13f3-.jpeg)"></div> </div> </div> </a> </div><div id="9eb7" class="link-block"> <a href="https://readmedium.com/23-data-science-techniques-you-should-know-61bc2c9d1b3a"> <div> <div> <h2>23 Data Science Techniques You Should Know!</h2> <div><h3>Save your precious time by using these hacks</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*222j6BFuGGqZxksgOHa4kg.png)"></div> </div> </div> </a> </div><h2 id="9248">5. Data Science: Probability</h2><p id="6c03"><b>Start Date</b> — Jan 28th, 2020</p><p id="611b"><b>Difficulty level</b> — Beginner</p><p id="3332"><b>Duration — </b>8 weeks long</p><p id="fd79"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Learn the important concepts in probability theory including random variables and independence and how to Monte Carlo simulation</li><li>The meaning of expected values, standard errors and how to compute them in R</li><li>The basics and importance of the Central Limit Theorem</li></ul><h2 id="f817">Taught By —</h2><p id="1a28"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><div id="1b77" class="link-block"> <a href="https://naina0412.medium.com/slashdata-surveyed-more-than-17000-developers-in-159-countries-heres-what-the-analysis-says-d25484a42051"> <div> <div> <h2>SlashData Surveyed more than 17000+ Developers in 159 countries — Here’s What the Analysis says…</h2> <div><h3>Amazing insights…</h3></div> <div><p>naina0412.medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*fd_0l1WOn4Ovc6zB.png)"></div> </div> </div> </a> </div><h2 id="e69a">6. Data Science: Inference and Modeling</h2><p id="1236"><b>Start Date</b> — Jan 28th, 2020</p><p id="48b4"><b>Difficulty level</b> — Beginner</p><p id="908d"><b>Duration — </b>8 weeks long</p><div id="59e8" class="link-block"> <a href="https://naina0412.medium.com/what-if-programming-languages-were-game-of-thrones-characters-ffc2c3018841"> <div> <div> <h2>What If Programming Languages were “GAME OF THRONES” Characters</h2> <div><h3>Last one is hilarious…</h3></div> <div><p>naina0412.medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ppMlGH2PGdRGWwHm.jpg)"></div> </div> </div> </a> </div><p id="298c"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Important concepts, necessary to define estimates and margins of errors of populations, parameters, estimates, and standard errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast.</li><li>How to use models to aggregate data</li><li>Basics of Bayesian statistics and predictive modeling</li></ul><h2 id="bacf">Taught By —</h2><p id="807c"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><h2 id="9a16">7. Data Science: R Basics</h2><p id="27ac"><b>Start Date</b> — Jan 28th, 2020</p><p id="9ef3"><b>Difficulty level</b> — Beginner</p><p id="8a96"><b>Duration — </b>8 weeks long</p><p id="c670"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Build a foundation in R and learn how to wrangle, analyze, and visualize data.</li><li>Foundational concepts like data types, vectors arithmetic, and indexing — R programing</li><li>Operations using R like sorting, data wrangling using dplyr, and making plots</li></ul><h2 id="dcfe">Taught By —</h2><p id="e425"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><h2 id="4171">8. Introduction to Linear Models and Matrix Algebra</h2><p id="cc2f"><b>Start Date</b> — April 17th, 2020</p><p id="5f29"><b>Difficulty level</b> — Intermediate</p><p id="d2fe"><b>Duration — </b>4<b> </b>weeks long</p><p id="06b8"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Basics of matrix algebra including notations and operations</li><li>Learn the application of matrix algebra to data analysis</li><li>How to build and work with Linear models</li><li>Learn about QR decomposition</li></ul><h2 id="209f">Taught By —</h2><p id="dfce"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><p id="68f6"><a href="https://www.edx.org/bio/michael-love"><b>Michael Love</b></a><b>, </b><i>Assistant Professor, Departments of Biostatistics and Genetics, </i>UNC Gillings School of Global Public Health</p><h2 id="f0ff">9. Statistics and R</h2><p id="745c"><b>Start Date</b> — April 17th, 2020</p><p id="00dd"><b>Difficulty level</b> — Intermediate</p><p id="712d"><b>Duration — </b>4<b> </b>weeks long</p><p id="7f75"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Learn by examples that will help you make the connection between concepts and implementation</li><li>Learn in-depth about Random variables, Distributions, Inference: p-values and confidence intervals, Non-parametric statistics</li><li>Learn how to do Exploratory Data Analysis using R</li><li>Learn how to use R scripts to analyze data and the basics of reproducible research.</li></ul><h2 id="072f">Taught By —</h2><p id="4cb9"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><p id="24a2"><a href="https://www.edx.org/bio/michael-love"><b>Michael Love</b></a><b>, </b><i>Assistant Professor, Departments of Biostatistics and Genetics, </i>UNC Gillings School of Global Public Health</p><h2 id="f11d">10. High-Dimensional Data Analysis</h2><p id="8346"><b>Start Date</b> — April 17th, 2020</p><p id="c288"><b>Difficulty level</b> — Intermediate</p><p id="f8a5"><b>Duration — </b>4<b> </b>weeks long</p><p id="e794"><b>You’ll learn </b>(<i>source: Course syllabus</i>) —</p><ul><li>Learn the mathematical definition of distance and use of the singular value decomposition (SVD) for dimension reduction of high-dimensional data sets, and multi-dimensional scaling and its connection to principal component analysis.</li><li>Learn the basics of Machine Learning</li><li>Learn the basics of Factor Analysis and how to deal with Batch Effects</li><li>Learn how to implement Clustering and Heatmaps</li></ul><h2 id="feae">Taught By —</h2><p id="168b"><a href="https://www.edx.org/bio/rafael-irizarry"><b>Rafael Irizarry</b></a><b>, </b><i>Professor of Biostatistics, </i>Harvard University</p><p id="7361"><a href="https://www.edx.org/bio/michael-love"><b>Michael Love</b></a><b>, </b><i>Assistant Professor, Departments of Biostatistics and Genetics, </i>UNC Gillings School of Global Public Health</p><p id="8540"><i>Source for this story: online-learning.harvard.edu</i></p><h1 id="19cf">Advanced SQL Series</h1><blockquote id="90b5"><p><b>Day 1 : <a href="https://readmedium.com/day-1-of-15-days-of-advanced-sql-series-a3676272dd5f?sk=991e8c82a9c378675080b83254ad13a2">SQL Basics and Kick start of Advanced SQL Series</a></b></p></blockquote><blockquote id="3423"><p><b>Day 2 : <a href="https://readmedium.com/day-1-of-15-days-of-advanced-sql-series-a3676272dd5f?sk=991e8c82a9c378675080b83254ad13a2">SQL Basics, Query Structure, Built In functions Conditions</a></b></p></blockquote><blockquote id="9f47"><p><b>Day 3 : <a href="https://readmedium.com/day-3-of-15-days-of-advanced-sql-series-c2ab52598a50?sk=bf9fb75360feb5d6506d04d011414d76">Most Important Commands, Joins and Filters</a></b></p></blockquote><blockquote id="b9e1"><p><b>Day 4 : <a href="https://readmedium.com/day-4-of-15-days-of-advanced-sql-series-3c06c9e1fc26?sk=336c132c67279805ba770156ed8e506d">Set Theory Operations, Stored Procedures and CASE statements in SQL</a></b></p></blockquote><blockquote id="718d"><p><b>Day 5 : <a href="https://readmedium.com/day-5-of-15-days-of-advanced-sql-series-310023a4083?sk=81c0eed74a24f3e43e54a0f087b898e7">Wildcards, Aggregation and Sequences in SQL</a></b></p></blockquote><blockquote id="daec"><p><b>Day 6 : <a href="https://readmedium.com/day-6-of-15-days-of-advanced-sql-series-548769f14138?sk=5a1b436c8b6ca2a738ba865f1972ee19">Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions</a></b></p></blockquote><blockquote id="d268"><p><b>Day 7 : <a href="https://readmedium.com/day-7-of-15-days-of-advanced-sql-series-5f93bbfa734?sk=1b0e08bb48cf75d76f327053814ad4a7">Window Functions, Grouping Sets and Constraints in SQL</a></b></p></blockquote><blockquote id="fe1f"><p><b>Day 8 : <a href="https://readmedium.com/day-8-of-15-days-of-advanced-sql-series-8387b74d270?sk=2734fb4be2e7968e0fa27612785a76ed">BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery</a></b></p></blockquote><blockquote id="653c"><p><b>Day 9 : <a href="https://readmedium.com/day-9-of-15-days-of-advanced-sql-series-6bfde9f997a6?sk=fa5b407ba124825c5b3b26109999e28b">Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases</a></b></p></blockquote><blockquote id="9d00"><p><b>Day 10 : <a href="https://readmedium.com/day-10-of-15-days-of-advanced-sql-series-9cb7438b1442?sk=437428d85d85281fa9c289fbafbaaa50">Triggers, Pivot and Cursors in SQL</a></b></p></blockquote><blockquote id="badc"><p><b>Day 11 : <a href="https://readmedium.com/day-11-of-15-days-of-advanced-sql-series-fbb863662786?sk=1342587e4be148ab2931280b52a3c05d">Views, Indexes and Auto Increment in SQL</a></b></p></blockquote><blockquote id="3b11"><p><b>Day 12 : <a href="https://readmedium.com/day-12-of-15-days-of-advanced-sql-series-98654987d9aa?sk=4c294f3c9807b87cceb52d6d8d7222bc">Query optimizations, Performance tuning in SQL</a></b></p></blockquote><blockquote id="8826"><p><b>Day 13 : <a href="https://readmedium.com/day-13-of-15-days-of-advanced-sql-series-991a315b73cf?sk=caacd74f6702270130e1875932e96d39">Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo DB, Introduction to SQL and NoSQL Databases</a></b></p></blockquote><blockquote id="5e9a"><p><b>Day 14 : <a href="https://readmedium.com/day-14-of-15-days-of-advanced-sql-series-c6126c3e8601?sk=221dc236be193d224b30a9d1972d3bb5">MySQL in Depth</a></b></p></blockquote><blockquote id="06b2"><p><b>Day 15 : <a href="https://readmedium.com/day-15-of-15-days-of-advanced-sql-series-9309f860bf1c?sk=4f44ece49732072fa796334f1611fc27">PostgreSQL inDepth</a></b></p></blockquote><p id="9662">Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —</p><blockquote id="6da9"><p><b>PostgreSQL inDepth</b></p></blockquote><p id="bba6"><b><i>Github for Advanced SQL that you can follow —</i></b></p><div id="325c" class="link-block"> <a href="https://github.com/Coder-World04/Complete-Advanced-SQL-Series/blob/main/README.md"> <div> <div> <h2>Complete-Advanced-SQL-Series/README.md at main · Coder-World04/Complete-Advanced-SQL-Series</h2> <div><h3>This repository contains everything you need to become proficient in Advanced SQL Structured Query Language Query…</h3></div> <div><p>github.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Ryx7inaYd_Q2GsQu)"></div> </div> </div> </a> </div><p id="3f6b"><b><i>All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).</i></b></p><p id="f10f"><b><i>Subscribe today!</i></b></p><div id="7232" class="link-block"> <a href="https://www.youtube.com/channel/UCOdLTXh9sIiBR_s9yh3-bEQ/about"> <div> <div> <h2>Ignito</h2> <div><h3>Excited to share that we have launched our Youtube channel — Ignito to cover all the projects and coding exercise for …</h3></div> <div><p>www.youtube.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*okwkD4LOH9YJcx2S)"></div> </div> </div> </a> </div><h1 id="29d1">System Design Case Studies — In Depth</h1><blockquote id="c55d"><p><a href="https://readmedium.com/day-4-of-system-design-case-studies-series-design-instagram-part-1-10943440f29c?sk=38e68a213058e169e71754e00c501813"><b>Design Instagram</b></a></p></blockquote><blockquote id="23da"><p><a

Options

href="https://readmedium.com/day-5-of-system-design-case-studies-series-design-messenger-app-7b73c589f4a?sk=4a53b122e8f02836c17fa35622aa0309"><b>Design Messenger App</b></a></p></blockquote><blockquote id="ca00"><p><a href="https://readmedium.com/day-7-of-system-design-case-studies-series-design-twitter-fd0722d7bb7c?sk=cdfc23d38edd5f48dc30efdcc0801c3e"><b>Design Twitter</b></a></p></blockquote><blockquote id="52bb"><p><a href="https://readmedium.com/day-8-of-system-design-case-studies-series-design-url-shortener-91c812a08e0b?sk=5e20d426c91ebaacfe43031bc43642da"><b>Design URL Shortener</b></a></p></blockquote><blockquote id="dcc2"><p><a href="https://readmedium.com/day-9-of-system-design-case-studies-series-design-dropbox-ead523ccccfa?sk=03b3b4ea3633051f7a9a7d379b1066b8"><b>Design Dropbox</b></a></p></blockquote><blockquote id="25bf"><p><a href="https://readmedium.com/day-10-of-system-design-case-studies-series-design-youtube-58bc4ad09c4b?sk=18560ffcc3d7174566d38d60c99d4914"><b>Design Youtube</b></a></p></blockquote><blockquote id="6d16"><p><a href="https://readmedium.com/day-11-of-system-design-case-studies-series-design-api-rate-limiter-8627993c5a92?sk=fad32cada40f414aef47b7928dfb7e67"><b>Design API Rate Limiter</b></a></p></blockquote><blockquote id="3942"><p><a href="https://readmedium.com/day-12-of-system-design-case-studies-series-design-web-crawler-efba93f40030?sk=185e88e37fbc3d30dcaf41bc3863a868"><b>Design Web Crawler</b></a></p></blockquote><blockquote id="80bf"><p><a href="https://naina0412.medium.com/day-13-of-system-design-case-studies-series-design-facebooks-newsfeed-e96294c7d871?sk=f0956b536721902c7da6a1ec8e2f0880"><b>Design Facebook’s Newsfeed</b></a></p></blockquote><blockquote id="2353"><p><a href="https://readmedium.com/day-14-of-system-design-case-studies-series-design-yelp-af432d13e838?sk=55e19b7d8ad43c4109e9b1694678c177"><b>Design Yelp</b></a></p></blockquote><blockquote id="dcb7"><p><a href="https://readmedium.com/day-15-of-system-design-case-studies-series-design-uber-2adc612701d?sk=d1c5481fcfd4f30e84074e5a5d7c548e"><b>Design Uber</b></a></p></blockquote><blockquote id="580e"><p><a href="https://readmedium.com/day-16-of-system-design-case-studies-series-design-tinder-a0867163f449?sk=6313f0b9760c3d78a17443a98bdb3330"><b>Design Tinder</b></a></p></blockquote><blockquote id="6b84"><p><a href="https://readmedium.com/day-17-of-system-design-case-studies-series-design-tiktok-58e5a93bcfb5?sk=5eed7cbac7af8b6506951417514ec8e0"><b>Design Tiktok</b></a></p></blockquote><blockquote id="1a51"><p><a href="https://readmedium.com/day-18-of-system-design-case-studies-series-design-whatsapp-38ec39f32b44?sk=89cc7003e78917fd65330ad56a7ed8f0"><b>Design Whatsapp</b></a></p></blockquote><blockquote id="86fc"><p><a href="https://readmedium.com/most-popular-system-design-questions-mega-compilation-45218129fe26?sk=6432dd01c067dd28bc81da1dfceccdab"><b>Most Popular System Design Questions</b></a></p></blockquote><blockquote id="a7f7"><p><a href="https://readmedium.com/quick-roundup-solved-system-design-case-studies-6ad776d437cf?sk=e42f56968e1b592382f484c222e7c111"><b>Mega Compilation : Solved System Design Case studies</b></a></p></blockquote><h1 id="c325">Complete Data Structures and Algorithm Series</h1><blockquote id="c8f1"><p><a href="https://readmedium.com/day-4-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-83d4c90d9115?sk=8ab3d284915f8f28534651d1c9cf41e5"><b>Complexity Analysis</b></a></p></blockquote><blockquote id="c155"><p><a href="https://readmedium.com/day-5-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-backtracking-f7de93dbe72d?sk=08c8ce11404387e46fdd73013aec267f"><b>Backtracking</b></a></p></blockquote><blockquote id="66fd"><p><a href="https://readmedium.com/day-3-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-af62dc4aec9c?sk=704354dbc4c0048ac0a0b5c97f1eef0e"><b>Sliding Window</b></a></p></blockquote><blockquote id="da37"><p><a href="https://readmedium.com/day-6-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-greedy-technique-4b219a8488d0?sk=540b74ce2d13f345dd00cbbfb252815f"><b>Greedy Technique</b></a></p></blockquote><blockquote id="d262"><p><a href="https://readmedium.com/day-8-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-two-pointer-7c513302dfa9?sk=cc32bc3ce22139845c64d195553859e0"><b>Two pointer Technique</b></a></p></blockquote><blockquote id="43b9"><p><a href="https://readmedium.com/day-11-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-arrays-bf7045a3c98b?sk=42ad70a29aa9f7891794d7feaa63bea9"><b>Arrays</b></a></p></blockquote><blockquote id="8dbb"><p><a href="https://readmedium.com/day-13-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-linked-list-6536f0041153?sk=952899c3d2e2bd5b4dbd6c8ad7debf05"><b>Linked List</b></a></p></blockquote><blockquote id="29e2"><p><a href="https://readmedium.com/day-12-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-strings-fa27c45a5fd6?sk=f6b3fc7bf5c770d2d04107667be1c446"><b>Strings</b></a></p></blockquote><blockquote id="95aa"><p><a href="https://readmedium.com/day-14-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-stack-b26d68eb3477?sk=ed28cc4e45134ad3562a3594ddea4017"><b>Stack</b></a></p></blockquote><blockquote id="07fc"><p><a href="https://readmedium.com/day-15-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-queue-db38d5477cd5?sk=44ae516bf0f1da510ee9618b7f135995"><b>Queues</b></a></p></blockquote><blockquote id="0e08"><p><a href="https://readmedium.com/day-17-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-hash-ddfe72657211?sk=a457b598d5f5f3d2572029693c587198"><b>Hash Table/Hashing</b></a></p></blockquote><blockquote id="b6d3"><p><a href="https://readmedium.com/day-16-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-binary-search-8799ce6321cb?sk=e4ee1b96f1cd2f9531b5e739539d8b7e"><b>Binary Search</b></a></p></blockquote><blockquote id="5586"><p><a href="https://readmedium.com/day-7-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-1-d-dynamic-2560f585499?sk=0756b6bd798238d9a96fe3d161690350"><b>1- D Dynamic Programming</b></a></p></blockquote><blockquote id="be69"><p><a href="https://readmedium.com/day-10-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-divide-and-a00f7375507?sk=3d52023dade6f37c396b58e039ca29f2"><b>Divide and Conquer Technique</b></a></p></blockquote><blockquote id="b173"><p><a href="https://readmedium.com/day-9-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-recursion-ed6f7f41742?sk=bf98ce6abdb3e3f2fa71213c6ed8caa9"><b>Recursion</b></a></p></blockquote><p id="9215"><b>Github —</b></p><div id="3244" class="link-block"> <a href="https://github.com/Coder-World04/Complete-Data-Structures-and-Algorithms"> <div> <div> <h2>GitHub — Coder-World04/Complete-Data-Structures-and-Algorithms: This repository contains everything…</h2> <div><h3>This repository contains everything you need to become proficient in Data Structures and Algorithms Start here : Day 1…</h3></div> <div><p>github.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*82WWl4vZvYx1zwkR)"></div> </div> </div> </a> </div><h1 id="34d3">Want to read programmers humor?</h1><div id="fd28" class="link-block"> <a href="https://readmedium.com/programming-humor-part-2-f92cf5a26f2b"> <div> <div> <h2>Programming Humor Part 2</h2> <div><h3>Keep laughing because it’s hilarious ….</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*xkCXqHz7vIXjmjD_.png)"></div> </div> </div> </a> </div><div id="1e2f" class="link-block"> <a href="https://readmedium.com/the-most-hilarious-code-comments-ever-bae3cb1030b5"> <div> <div> <h2>The Most Hilarious Code Comments Ever</h2> <div><h3>Programmer Humor: Yes, coders actually wrote them!</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*C-cPP9D2MIyeexAT.gif)"></div> </div> </div> </a> </div><div id="93a8" class="link-block"> <a href="https://readmedium.com/coding-sins-hilarious-developer-confessions-f55eb342454e"> <div> <div> <h2>Coding Sins: Hilarious Developer Confessions</h2> <div><h3>How ‘whiteboarding’ got mocked</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: 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href="https://readmedium.com/5-cool-advanced-pandas-techniques-for-data-scientists-c5a59ae0625d"> <div> <div> <h2>5 Cool Advanced Pandas Techniques for Data Scientists</h2> <div><h3>Use these techniques …</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*nd1WG4uRgLzMQr8P.jpeg)"></div> </div> </div> </a> </div><div id="bbb9" class="link-block"> <a href="https://readmedium.com/stack-overflow-analyzed-data-from-60-000-software-developers-hours-they-work-languages-they-476ac6ca0197"> <div> <div> <h2>Stack Overflow Analyzed Data from 60,000+ Software Developers — Hours They Work, Languages They…</h2> <div><h3>Here is what they found…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*LWGz2247yyjKfW6g.png)"></div> </div> </div> </a> </div><div id="4965" class="link-block"> <a 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10 Free Data Science courses from Harvard

Grab the opportunity

Harvard University (Image source and credits: Pinterest)

1. Principles, Statistical and Computational Tools for Reproducible Science

Start Date — April 17th, 2020

Difficulty level — Intermediate

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

Learn the fundamentals of reproducible science and understand why reproducible research matters, definitions, and concepts and factors affecting reproducibility Module
Key elements required for data provenance and reproducible experimental design
Statistical methods for reproducible data analysis
Participants will participate in six modules that will include several case studies that illustrate the significant impact of reproducible research methods on scientific discovery.
Computational Tools for Reproducible Science using R and Rstudio, Python
Computational tools for reproducible data analysis and version control (Git/GitHub, Emacs/RStudio/Spyder), reproducible data (Data repositories/Dataverse) and reproducible dynamic report generation (Rmarkdown/R Notebook/Jupyter/Pandoc), and workflows.

Taught By —

Curtis Huttenhower, Associate Professor of Computational Biology and Bioinformatics, Harvard University

John Quackenbush, Professor of Computational Biology and Bioinformatics, Harvard University

Lorenzo Trippa, Associate Professor of Biostatistics, Harvard University

Christine Choirat, Research Associate, Harvard University

Projects Videos —

Subscribe today!

Ignito

Excited to share that we have launched our Youtube channel — Ignito to cover all the projects and coding exercise for …

www.youtube.com

2. Data Science: Linear Regression

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

How Galton originally developed the linear regression
Basics of confounding and detection techniques
Basics of R
Learn how to examine the relationships between variables by implementing linear regression in R

[Holidays Alert]: Top 5 free Data Science, AI & ML courses You can finish

Amazing courses…

naina0412.medium.com

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

Programming Horror and Humor Part 3

Keep laughing because it’s hilarious ….

naina0412.medium.com

3. Data Science: Machine Learning

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

Learn the basics of machine learning
How to perform cross-validation to avoid overtraining
Popular machine-learning algorithms
Basics of regularization
Learn how to build a recommendation system from scratch

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

10 “Silicon Valley” Liners/Puns that are So Funny, Apt & Relatable to the Tech World

Hilarious as they sound…

naina0412.medium.com

4. Data Science: Visualization

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

Learn the basics of Data visualization principles and how to apply them using ggplot2.
Communicate data-driven findings, motivate analyses, and detect flaws
You will learn how to leverage data to reveal valuable insights and advance your career

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

The Most Hilarious Code Comments Ever

Programmer Humor: Yes, coders actually wrote them!

medium.com

Coding Sins: Hilarious Developer Confessions

How ‘whiteboarding’ got mocked

medium.com

Python Iterators, Generators And Decorators Made Easy

A Quick Implementation Guide

medium.com

23 Data Science Techniques You Should Know!

Save your precious time by using these hacks

medium.com

5. Data Science: Probability

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

Learn the important concepts in probability theory including random variables and independence and how to Monte Carlo simulation
The meaning of expected values, standard errors and how to compute them in R
The basics and importance of the Central Limit Theorem

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

SlashData Surveyed more than 17000+ Developers in 159 countries — Here’s What the Analysis says…

Amazing insights…

naina0412.medium.com

6. Data Science: Inference and Modeling

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

What If Programming Languages were “GAME OF THRONES” Characters

Last one is hilarious…

naina0412.medium.com

You’ll learn (source: Course syllabus) —

Important concepts, necessary to define estimates and margins of errors of populations, parameters, estimates, and standard errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast.
How to use models to aggregate data
Basics of Bayesian statistics and predictive modeling

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

7. Data Science: R Basics

Start Date — Jan 28th, 2020

Difficulty level — Beginner

Duration — 8 weeks long

You’ll learn (source: Course syllabus) —

Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Foundational concepts like data types, vectors arithmetic, and indexing — R programing
Operations using R like sorting, data wrangling using dplyr, and making plots

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

8. Introduction to Linear Models and Matrix Algebra

Start Date — April 17th, 2020

Difficulty level — Intermediate

Duration — 4 weeks long

You’ll learn (source: Course syllabus) —

Basics of matrix algebra including notations and operations
Learn the application of matrix algebra to data analysis
How to build and work with Linear models
Learn about QR decomposition

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

Michael Love, Assistant Professor, Departments of Biostatistics and Genetics, UNC Gillings School of Global Public Health

9. Statistics and R

Start Date — April 17th, 2020

Difficulty level — Intermediate

Duration — 4 weeks long

You’ll learn (source: Course syllabus) —

Learn by examples that will help you make the connection between concepts and implementation
Learn in-depth about Random variables, Distributions, Inference: p-values and confidence intervals, Non-parametric statistics
Learn how to do Exploratory Data Analysis using R
Learn how to use R scripts to analyze data and the basics of reproducible research.

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

Michael Love, Assistant Professor, Departments of Biostatistics and Genetics, UNC Gillings School of Global Public Health

10. High-Dimensional Data Analysis

Start Date — April 17th, 2020

Difficulty level — Intermediate

Duration — 4 weeks long

You’ll learn (source: Course syllabus) —

Learn the mathematical definition of distance and use of the singular value decomposition (SVD) for dimension reduction of high-dimensional data sets, and multi-dimensional scaling and its connection to principal component analysis.
Learn the basics of Machine Learning
Learn the basics of Factor Analysis and how to deal with Batch Effects
Learn how to implement Clustering and Heatmaps

Taught By —

Rafael Irizarry, Professor of Biostatistics, Harvard University

Michael Love, Assistant Professor, Departments of Biostatistics and Genetics, UNC Gillings School of Global Public Health

Source for this story: online-learning.harvard.edu

Advanced SQL Series

Day 1 : SQL Basics and Kick start of Advanced SQL Series

Day 2 : SQL Basics, Query Structure, Built In functions Conditions

Day 3 : Most Important Commands, Joins and Filters

Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL

Day 5 : Wildcards, Aggregation and Sequences in SQL

Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions

Day 7 : Window Functions, Grouping Sets and Constraints in SQL

Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery

Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases

Day 10 : Triggers, Pivot and Cursors in SQL

Day 11 : Views, Indexes and Auto Increment in SQL

Day 12 : Query optimizations, Performance tuning in SQL

Day 13 : Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo DB, Introduction to SQL and NoSQL Databases

Day 14 : MySQL in Depth

Day 15 : PostgreSQL inDepth

Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —

PostgreSQL inDepth

Github for Advanced SQL that you can follow —

Complete-Advanced-SQL-Series/README.md at main · Coder-World04/Complete-Advanced-SQL-Series

This repository contains everything you need to become proficient in Advanced SQL Structured Query Language Query…

github.com

All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).

Subscribe today!

Ignito

Excited to share that we have launched our Youtube channel — Ignito to cover all the projects and coding exercise for …

www.youtube.com

System Design Case Studies — In Depth

Design Instagram

Design Messenger App

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Design API Rate Limiter

Design Web Crawler

Design Facebook’s Newsfeed

Design Yelp

Design Uber

Design Tinder

Design Tiktok

Design Whatsapp

Most Popular System Design Questions

Mega Compilation : Solved System Design Case studies

Complete Data Structures and Algorithm Series

Complexity Analysis

Backtracking

Sliding Window

Greedy Technique

Two pointer Technique

Arrays

Linked List

Strings

Stack

Queues

Hash Table/Hashing

Binary Search

1- D Dynamic Programming

Divide and Conquer Technique

Recursion

Github —