Future Data Science(FDS)

We are excited to be partnered with Hackathons UK and be part of Hack Quarantine Hackathon between March 23 to April 23. Learn more about the Hackathon at https://hackquarantine.com/ We have established #TeamEthiopia to do actual work for our country and beyond. 👉 Do you want to join #TeamEthiopia?? Please join us as soon as possible at https://discord.gg/zxFqn8. We all together fight COVID-19 through tech. @GDGAddis

✅ Do the following everyday 1. Wash your hand 2. Stop shake your hand 3. Keep 1M distance with the other person 4. Don't touch anything else Then protect #COVID19

#DataScience Data plays an important role in almost all private and public sector employment. The need to understand how to use data to inform decision making in many occupations has never been more important. This qualification equips you with the key skills to explore and analyse complex data sets, and to solve practical problems using applied mathematics, statistics and computing. You’ll gain a good grounding in mathematical and statistical methods, which provide a foundation for data analysis; together with the essential computing skills needed to use them to solve practical problems, including elements of machine learning and artificial intelligence. You’ll also gain experience of using statistical software packages. #ProtectCoronaVirus

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✍Cont... from previous post ✅5 Famous Female Programmers in Today’s Tech World 1. Jade Raymond: If you have ever played Assasin’s Creed then you will be surprised to know that the producer of Assassin’s Creed is a female programmer, Jade Raymond. Jade is a Canadian video game producer, founder of Electronic Arts’ Motive Studios and founder of Ubisoft Toronto. Well, she is a lot of gamers dream girl and she is a well-known face in the programming world. She completed her bachelor’s in computer science. Fascinated with games, she started her career after graduation in Sony as a Programmer. 2. Gayle Laakmann McDowell: Are you dreaming about getting into your dream companies…Google, Mircosoft, Facebook or Amazon as a software engineer? If you are then you might have heard the book name “Cracking the Coding Interviews”. Yes, this book has helped a lot of students and developers to crack the interviews of these companies and the author of this book is this lady who worked as a software engineer in Google, hired and trained a lot of software engineers. She is also the founder of CareerCup, a website that helps a lot of students in coding interview preparation. You will see the reflection of her technical knowledge and experiences in her books. Now just imagine….how is it like learning programming not from a male but a female software engineer (smiling…yeah??). 3. Ruchi Sanghvi: An Indian Computer Engineer and the First Female Engineer hired by Facebook. She quit Facebook and in 2011, she started her own company Cove, with two other co-founders. Later she sold her company to Dropbox and landed a job there as a VP of operations. Sanghvi was one of the main people working on the first version of Facebook’s News Feed product, first launched in September 2006. Sanghvi also became the product lead for the Facebook Platform. 4. Marissa Mayer: The lady was employee No. 20 at Google and the company’s first female engineer. She helped Google develop its search technologies and worked on a long list of other key products including images, maps, books, news, and the toolbar. She worked very hard at Google for as many as 130 hours a week.. Her hard work paid off and later she became the vice president of Google Search Products and User Experience. In the end, don’t be surprised if we say that in 2012 Mayer became the president and CEO of Yahoo!. 5. Tracy Chou: A software engineer and advocate for diversity in her field. This lady is the finest example of how good can females are at diverse programming needs. Chou studied computer science at Stanford University with a specialization in machine learning and artificial intelligence. She has the distinction of working with the topmost tech companies in the world. She has prior work experience at Pinterest, Quora and internship experience at Rocket Fuel Inc., Google, and Facebook. The list doesn’t end here… some more inspiring female programmers are at the top in their tech career. Now the question is why the majority of women stay away from programming? Why many women break into a cold sweat when they hear words like CMS, database, JavaScript, or API. Is this the fault of a woman or the reason is something else…? ✍I will post the reason next time

🙈Do you know that only 20% of all U.S. computer programmers are female? Do you know that in open-source fields, only 10% of programmers are women? ✅5 Female Programmers Who Changed The World In The Past 1. Ada Lovelace: You will be surprised that the first computer programmer was this lady. She was a mathematician in Victorian Times. She is known for her contribution to the mechanical general-purpose computer, the Analytical Engine created by Charles Babbage. 2. Kathleen Booth: She is the woman who wrote the first Assembly language. She and her husband also mentioned Artificial Intelligence as a possible future application of computing machines. 3. Margaret Hamilton: One more surprise…Margaret Hamilton is the lady who coined the term “Software Engineering” to this world. She created the software Apollo Guide Computer in the Apollo Space Program and her code got humans on the moon. 4. Grace Hopper: COBOL…. you might have heard this name but do you know that it was created by a female programmer Grace Hopper. She invented this compiler that converted English terms into machine code understood by computers. 5. Joan Clarke: An Egnlish cryptanalyst who is well known for her role as a code-breaker during the Second World War. She worked along with Alan Turing and decrypted the German Enigma messages. Read in detail about all these fabulous women programmers from the link 5 Women Programmers Who Changed The World!. Let’s come into the present moment and discuss who are some awesome female programmers in the present time. ✅Next Post? 5 Famous Female Programmers in Today’s Tech World

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✅Python | type() function type() method returns class type of the argument(object) passed as parameter. type() function is mostly used for debugging purposes. Two different types of arguments can be passed to type() function, single and three argument. If single argument type(obj) is passed, it returns the type of given object. If three arguments type(name, bases, dict) is passed, it returns a new type object. Syntax : type(object) Therefor the answer of the above question is print(type(x)) Any doubt ask Join group discussion: https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA

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Top 50 Data Science Interview Questions and Answers https://www.guru99.com/data-science-interview-questions.html

t: $65,470 Data scientist: $120,931 Senior data scientist: $141,257 Data engineer: $137,776

✅What is Data Science? Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process. ✅What Does a Data Scientist Do? In the past decade, data scientists have become necessary assets and are present in almost all organizations. These professionals are well-rounded, data-driven individuals with high-level technical skills who are capable of building complex quantitative algorithms to organize and synthesize large amounts of information used to answer questions and drive strategy in their organization. This is coupled with the experience in communication and leadership needed to deliver tangible results to various stakeholders across an organization or business. Data scientists need to be curious and result-oriented, with exceptional industry-specific knowledge and communication skills that allow them to explain highly technical results to their non-technical counterparts. They possess a strong quantitative background in statistics and linear algebra as well as programming knowledge with focuses in data warehousing, mining, and modeling to build and analyze algorithms. ✅They must also be able to utilize key technical tools and skills, including: R, Python, Apache Hadoop, MapReduce, Apache Spark, NoSQL databases, Cloud computing, D3, Apache Pig, Tableau, iPython notebooks, GitHub ✅Where Do You Fit in Data Science? Data is everywhere and expansive. A variety of terms related to mining, cleaning, analyzing, and interpreting data are often used interchangeably, but they can actually involve different skill sets and complexity of data. Data Scientist Data scientists examine which questions need answering and where to find the related data. They have business acumen and analytical skills as well as the ability to mine, clean, and present data. Businesses use data scientists to source, manage, and analyze large amounts of unstructured data. Results are then synthesized and communicated to key stakeholders to drive strategic decision-making in the organization. Skills needed: Programming skills (SAS, R, Python), statistical and mathematical skills, storytelling and data visualization, Hadoop, SQL, machine learning Data Analyst Data analysts bridge the gap between data scientists and business analysts. They are provided with the questions that need answering from an organization and then organize and analyze data to find results that align with high-level business strategy. Data analysts are responsible for translating technical analysis to qualitative action items and effectively communicating their findings to diverse stakeholders. Skills needed: Programming skills (SAS, R, Python), statistical and mathematical skills, data wrangling, data visualization Data Engineer Data engineers manage exponential amounts of rapidly changing data. They focus on the development, deployment, management, and optimization of data pipelines and infrastructure to transform and transfer data to data scientists for querying. Skills needed: Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), frameworks (Apache Hadoop) ✅Data Science Career Outlook and Salary Opportunities Data science professionals are rewarded for their highly technical skill set with competitive salaries and great job opportunities at big and small companies in most industries. With over 4,500 open positions listed on Glassdoor, data science professionals with the appropriate experience and education have the opportunity to make their mark in some of the most forward-thinking companies in the world. Below are the average base salaries for the following positions:  Data analys

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