How To Land Your Dream Data Science Job.
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 770.80 MB | Duration: 2h 16m
Learn The Most Effective Ways to Become a Data Scientist
What you'll learn
How to speed up your search for a job in data science
Learn Linkedin Strategies that Will have Recruiters Reach Out To You Consistently
How to Land Your First Real Project Experience.
How to Build Confidence as a Data Scientist
Interview Prep: Learn All Common Data Science Interview Question Ask By Most Recruiters.
Getting ready for the job interview
Requirements
No Experienced Needed!
Description
Discover the blueprint in getting job market ready, build confidence, ace your data science interviews and land your first Data Science job.There has been a dramatic increase in demand for data scientists over the past decade thanks to the proliferation of new technologies like big data, machine learning, cloud computing, and artificial intelligence. Pay for data scientists has increased in tandem with the growing demand for their services.How does one enter the field of data science, and what are the best practices for finding employment in that field? In this primer, we cover the fundamentals.Five Outstanding Causes for Pursuing a Career in Data ScienceFor what purpose should we study data? To put it plainly, it is easy. Understanding data will lessen the terrors of uncertainty in businesses. An organization's goal in tinkering with petabytes of data is to gain insights, and a data scientist's job is to assist in this process.The need for data scientists is ever-present due to the information overload that characterizes our modern society.Participate in the global shift to digital.Professionals with data science expertise are in high demand. This is currently a highly sought-after field of work.Those who possess this skill set can choose from a wide variety of options all over the world.Data science offers a promising career path, with room for advancement in an exciting and lucrative field.It's true that data scientists earn very good money. Because of their crucial roles and responsibilities, data scientists typically receive high salaries, often significantly above the normal market standards.Demand has not dropped along with the decline in competition.Reasons Why This Course Is the Best Option:This course was created with a wide range of students in mind, so we start with the fundamentals and work our way up to more advanced material on topics like the job search, resume writing, interviewing, and more.Learn everything you need to know in one weekend with this course.Everything you need to know to get started as a Data Scientist is included in this course.Links to helpful materials and websites are provided so that you can get started on your Data Science journey.There will be no more unanswered questions.Most importantly, detailed advice is given on even the most inconsequential issues. Not only will you find out how to become a Data Scientist, but you'll also learn essential principles of job hunting that will aid you in getting hired for your ideal job.
Overview
Section 1: Welcome
Lecture 1 Introduction to Getting Ready for The job Market
Section 2: Myth Busting
Lecture 2 Forget What You've Heard
Section 3: Are You Ready Get Hired!
Lecture 3 1: Resume Revamping
Lecture 4 2: Exposure on All Platforms
Lecture 5 3: FAANG OutReach Training
Lecture 6 4: Lets Build Confidence
Lecture 7 5: How to Get Project Experience
Section 4: How Do We Maintain Our Skills
Lecture 8 Stick to Your Schedule and Routine
Section 5: Frequently Ask Questions
Lecture 9 Remember You Got This!
Section 6: More learning: Ebook - 7 Surprising Mistakes Beginner Programmers Should Avoid!
Lecture 10 DOWNLOAD HERE
Anyone who wants to become a data scientist, whether they are a beginner or a seasoned pro.,New graduates who are interested in Data Science,People in the middle of their careers who want to move into the data science space,Experienced workers who want to improve their Data Science skills,Data Scientists looking to build their portfolio,Anybody about to be interviewed as a Data Scientist
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