Audiobook Data Science Interview: Prep for SQL, Panda, Python, R Language, Machine Learning, DBMS and RDBMS - And More - The Full Data Scientist Intervi by Dsi Ace Prep in the ListenBook app
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Book description
Are YOU looking for a data scientist job?Then keep reading...The median annual salary for a Data Scientist is $98,230, according to the Bureau of Labor Statistics.Data science job postings grew by 31% over the past few years, while data science job searches only rose by 14% over the same period. This high demand has led to a shortage of over 150,000 data science professionals.Glassdoor ranks data science, as the #2 job in America for 2022, and this trend is likely to continue.Data science is one of the most in-demand professions today. It's also one of the highest paid and offers great benefits. It's also one of the hardest to get into, with only 1 in every 10 applicants being accepted by top companies like Google and Facebook. And as such, there are many challenges that come with this profession such as finding your dream job, getting through interviews and landing the offer letter.You don't have to be intimidated by interviews anymore With this Data Science Interview book, you'll be prepared for questions compiled from real data scientists who work at top companies including Google, Facebook, and Amazon & NASA.You can use this Data Science Interview book as an effective study guide before going into any interview or even just brush up on some concepts if you feel confident about them already. Either way it'll be worth it because we know how difficult it is to find good jobs in today's market Don't let another opportunity pass you by - buy this book now and start preparing for your next big data science interview CONTENTS: INTRODUCTIONMeaning of Data ScienceBackground Interview Questions and SolutionsCareers in Data ScienceCHAPTER 1: MASTERING THE BASICSStatisticsProbabilityLinear AlgebraCHAPTER 2: PYTHONCHAPTER 3: PANDANumpy Interview QuestionsCHAPTER 4: MACHINE LEARNINGPCA Interview QuestionsCurse of DimensionalitySupport Vector Machine (SVM)Overfitting and UnderfittingCHAPTER 5: R LANGUAGECSV files in R ProgrammingConfusion MatrixRandom Forest in RK-MEANS Clustering CHAPTER 6: SQLDBMS and RDBMSRDBMSMYSQLUnique ConstraintsClustered and Non-Clustered IndexesData IntegritySQL CursorCHAPTER 7: DATA WRANGLINGData VisualizationCHAPTER 8: DATA SCIENCE INTERVIEW EXTRAExtra Interview QuestionsInterview Questions on Technical AbilitiesInterview on Personal ConcernsInterview Questions on Communication and LeadershipBehavioral Interview QuestionsInterview Questions Top Companies CONCLUSION The data scientist professions rank high among the top-10 emerging careers in the United States. This book encapsulates the core of data science in a concise, compact, and clear manner. It provides advanced questions and solutions on data science interview. It provided an introduction to the key ideas followed by a set of interview questions to help you reinforce your comprehension and prepare for your next interview.Topics covered in this book include: Basic data science interview questionsPython interview questionsPanda questionsMachine learning interview questionsR Language interview questionsSQL questions and many moreTo secure your role as a Data Scientist get this book now
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Listening to fiction
If you love listening to fiction audiobooks, ListenBook has features to make the process easier.
Edit book data: title, author, cover
Use equalizer to make the sound comfortable for you
Adjust the playback speed
Enjoy dark and light app themes
Supported formats: MP3, M4B, AWB, FLAC, OGG audio files and many more (must be DRM free)
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AirPlay support allows redirection of audio output.
VoiceOver support
Dark mode for night owls
Listening to audio lectures
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Put your own cover on the wager
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Customise app with extensive options
Sleep timer with shake to reset, set custom notification sounds, and a few unique options
Auto rewind depending on paused time, customize rewind times to your liking
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Changing the timbre of the reader's voice for a better listening experience
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