Beyond Code: 10 Critical Strategies to Balance Technical & Soft Skills for an Impactful Career | A Practical Guide for Data Scientists, Analysts & Engineers PDF Download
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Author: Tezan Sahu
Publisher: Clever Fox Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 140
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Book Description
- Are you tired of feeling stuck in your data science career? - Do you wonder why some data scientists or engineers get promoted more quickly than others, despite having similar technical skills? - Are you struggling to communicate your findings effectively to corporate stakeholders? - Do you wish to differentiate yourself in this highly competitive industry? - Do you wish to lead impactful data science projects and unlock your potential as a leader? If you answered YES to any of these questions, then congratulations, you’ve come to the right place! "BEYOND CODE: 10 Critical Strategies to Balance Technical & Soft Skills for an Impactful Career" Written by an Applied Scientist at Microsoft, IITian & Bestselling Author, Tezan Sahu, this comprehensive guide is not your typical data science book - It goes beyond technical skills to help you develop the non-tech skills and mindset needed to navigate the challenges of the dynamic data science industry. With practical tips and actionable strategies, "Beyond Code" provides a clear roadmap for career success in data science. This short yet power-packed book covers everything you need to know to excel in this industry: 1. Learn how to become irreplaceable 2. Understand the nuances of a customer-obsessed & data-driven mindset 3. Unleash your creativity and learn actively with a growth mindset 4. Master the art of communication through data storytelling 5. Adapt effectively to the rapidly changing landscapes 6. Enhance your learning via knowledge sharing 7. Become the most productive version of yourself by managing your time 8. Build a powerful personal brand 9. Collaborate successfully & grow your professional network 10. Rise to the occasion & think like a modern leader Whether you are a data scientist, data analyst, data engineer, software developer or program manager; a seasoned pro or just starting out, this practical guide definitely has something in store for you! ARE YOU READY TO TRANSFORM YOUR CAREER, CREATE A MASSIVE IMPACT AND BECOME A SUCCESSFUL PROFESSIONAL THAT EVERYONE IN THE INDUSTRY LOOKS UP TO? GRAB YOUR COPY TODAY!
Author: Tezan Sahu
Publisher: Clever Fox Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 140
Get Book Here
Book Description
- Are you tired of feeling stuck in your data science career? - Do you wonder why some data scientists or engineers get promoted more quickly than others, despite having similar technical skills? - Are you struggling to communicate your findings effectively to corporate stakeholders? - Do you wish to differentiate yourself in this highly competitive industry? - Do you wish to lead impactful data science projects and unlock your potential as a leader? If you answered YES to any of these questions, then congratulations, you’ve come to the right place! "BEYOND CODE: 10 Critical Strategies to Balance Technical & Soft Skills for an Impactful Career" Written by an Applied Scientist at Microsoft, IITian & Bestselling Author, Tezan Sahu, this comprehensive guide is not your typical data science book - It goes beyond technical skills to help you develop the non-tech skills and mindset needed to navigate the challenges of the dynamic data science industry. With practical tips and actionable strategies, "Beyond Code" provides a clear roadmap for career success in data science. This short yet power-packed book covers everything you need to know to excel in this industry: 1. Learn how to become irreplaceable 2. Understand the nuances of a customer-obsessed & data-driven mindset 3. Unleash your creativity and learn actively with a growth mindset 4. Master the art of communication through data storytelling 5. Adapt effectively to the rapidly changing landscapes 6. Enhance your learning via knowledge sharing 7. Become the most productive version of yourself by managing your time 8. Build a powerful personal brand 9. Collaborate successfully & grow your professional network 10. Rise to the occasion & think like a modern leader Whether you are a data scientist, data analyst, data engineer, software developer or program manager; a seasoned pro or just starting out, this practical guide definitely has something in store for you! ARE YOU READY TO TRANSFORM YOUR CAREER, CREATE A MASSIVE IMPACT AND BECOME A SUCCESSFUL PROFESSIONAL THAT EVERYONE IN THE INDUSTRY LOOKS UP TO? GRAB YOUR COPY TODAY!
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 140
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Book Description
Best Life magazine empowers men to continually improve their physical, emotional and financial well-being to better enjoy the most rewarding years of their life.
Author: Russell Jurney
Publisher: "O'Reilly Media, Inc."
ISBN: 1449326919
Category : Computers
Languages : en
Pages : 269
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Book Description
Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track
Author: Klaus Schwab
Publisher: Crown Currency
ISBN: 1524758876
Category : Business & Economics
Languages : en
Pages : 194
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Book Description
World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress.
Author: Patricia Pulliam Phillips
Publisher: Association for Talent Development
ISBN: 1950496643
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
A Step-by-Step Guide to Showing the Value of Soft Skill Programs As organizations rise to meet the challenges of technological innovation, globalization, changing customer needs and perspectives, demographic shifts, and new work arrangements, their mastery of soft skills will likely be the defining difference between thriving and merely surviving. Yet few executives champion the expenditure of resources to develop these critical skills. Why is that and what can be done to change this thinking? For years, managers convinced executives that soft skills could not be measured and that the value of these programs should be taken on faith. Executives no longer buy that argument but demand the same financial impact and accountability from these functions as they do from all other areas of the organization. In Proving the Value of Soft Skills, measurement and evaluation experts Patti Phillips, Jack Phillips, and Rebecca Ray contend that efforts can and should be made to demonstrate the effect of soft skills. They also claim that a proven methodology exists to help practitioners articulate those effects so that stakeholders’ hearts and minds are shifted toward securing support for future efforts. This book reveals how to use the ROI Methodology to clearly show the impact and ROI of soft skills programs. The authors guide readers through an easy-to-apply process that includes: business alignment design evaluation data collection isolation of the program effects cost capture ROI calculations results communication. Use this book to align your programs with organizational strategy, justify or enhance budgets, and build productive business partnerships. Included are job aids, sample plans, and detailed case studies.
Author:
Publisher:
ISBN: 9780615974422
Category :
Languages : en
Pages :
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Book Description
Author: Frederick Mosteller
Publisher: Courier Corporation
ISBN: 0486134962
Category : Mathematics
Languages : en
Pages : 100
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Book Description
Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest, or because they demonstrate valuable techniques. Also includes detailed solutions.
Author: Johnny Saldana
Publisher: SAGE
ISBN: 1446200124
Category : Reference
Languages : en
Pages : 282
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Book Description
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
Author: Rafael A. Irizarry
Publisher: CRC Press
ISBN: 1000708039
Category : Mathematics
Languages : en
Pages : 836
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Book Description
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
