What laptop should you use for data science?
Learn to work more effectively with data. Free training
https://datastrategywithjonathan.com/p/flex-dashboard-template/
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This video is a quick overview of WGU’s M.S.D.A. Program.
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The world of data and data science can seem overwhelming! But don’t worry! We’ve got you covered! In this Introduction to Data Science video, we’ll show you exactly how to get started!
👇🏻Download the diagram PDF:
✅https://www.dropbox.com/s/50f3vuw2hiip8v1/365-DataScience-Diagram.pdf?dl=0
👇🏻Download the infographic PDF:
✅https://www.dropbox.com/s/jjchalzd66jzvu2/365-DataScience.png?dl=0
We’ll begin by clarifying the similarities and differences between the terms: Business Analytics, Data Analytics, Data Science, Business Intelligence, and Machine Learning. Then, we’ll focus on helping you digest the definitions you need to know in an effective way. By the end, you will be more than capable of being able to relate and apply varies expressions and buzzwords to the areas of data science they belong to!
We hope this video helps you broaden your perspective. We’re also positive it will make the jumble of disciplines a little clearer and will assist you in choosing the best career path to enter the data science field!
Enjoy Watching!
***
Discover the different career paths and how to break into data science with this comprehensive data science career guide! – ✅http://bit.ly/2PxrjCC
👇🏻Follow us on YouTube:
✅https://www.youtube.com/c/365DataScience?sub_confirmation=1
👇🏻Connect with us on our social media platforms:
✅Website: https://365datascience.com/
✅LinkedIn: https://www.linkedin.com/company/365datascience
✅Medium: https://medium.com/@365datascience
✅Facebook: https://www.facebook.com/365datascience
✅Pinterest: https://www.pinterest.com/365datascience/
✅Reddit: https://www.reddit.com/user/365datascience
✅Tumblr: https://www.tumblr.com/blog/365datascienceblog
✅Instagram: https://www.instagram.com/365datascience
✅Q&A Hub: https://365datascience.com/qa-hub/
👇🏻Prepare yourself for a career in data science with our comprehensive program:
✅http://bit.ly/2TinQc0
Get in touch about the training at:
[email protected]
Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
#Introduction #DataScience #DataScientist #data #science #datascience #infographic
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With data growing at a rapid rate, companies are facing significant challenges to handle their data and derive business values. Implementing the use of Data Analysis tools is the need of the hour. In this video, we’ll cover the top 10 data analysis tools that can help you handle your data efficiently, perform different kinds of analytics, build reports, dashboards, and models to make business decisions. You will also learn their essential features and the companies that use them regularly.
To access the slides, click here: https://www.slideshare.net/Simplilearn/top-10-data-analysis-tools-top-data-analytics-tools-data-analytics-simplilearn/Simplilearn/top-10-data-analysis-tools-top-data-analytics-tools-data-analytics-simplilearn
This Post Graduate Program in Data Analytics, in partnership with Purdue University and in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you’ll learn analytics tools and techniques, the languages of R and Python (with no prior programming experience required), how to create data visualizations with Tableau, and how to apply statistics and analytics in a business environment. Simplilearn’s PGP in Data Analytics will provide you with extensive expertise in the booming data analytics and data science fields.
Key features:
1. Purdue Post Graduate Program Certification
2. Purdue Alumni Association Membership
3. Enrollment in Simplilearn’s JobAssist
4. Industry-recognized IBM certificates
5. 180+ hours of Blended Learning
6. 14+ hands-on projects on integrated labs
7. Capstone Project in 3 Domains
8. Masterclasses from Purdue faculty
Skills covered:
1. Data analytics
2. Statistical analysis using Excel
3. Data analysis: Python & R
4. Data visualization: Tableau & PowerBI
5. Linear and logistic regression modules
6. Clustering using k-meansSupervised learning
Program details:
Fast track your career in the data analytics field via a comprehensive curriculum covering the concepts of data analytics and statistics foundation, analyzing data using Python and R programming languages, interacting with databases using SQL, and visualizing the data using Tableau and powerBI.
Learn more at: https://www.simplilearn.com/post-graduate-data-analytics-certification-courses
For more information about Simplilearn’s courses, visit:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn
– Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
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Highest Paid Jobs of Future | Data Scientist Complete Detail Hindi | Courses | Salary | Degree’s
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Subscribe Here- https://www.youtube.com/PraveenDilliwala
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Data Analyst Resume | Reviewing My Resume! | Fortune 500 Data Analyst // I thought it would be interesting to look back at the resume I submitted for my current job. Writing and submitting a resume can be a very tedious thing to do. Hopefully my resume can give you some tips (or things to avoid?) when you’re writing your resume!
LINKS:
SQL Code:
https://github.com/AlexTheAnalyst/SQL-Code/blob/master/Resume%20Scripts.sql
HOW TO CREATE A DATA ANALYST RESUME:
https://www.youtube.com/watch?v=Ns-8Jsa3mEM&t=176s
____________________________________________
SUBSCRIBE!
Do you want to become a Data Analyst? That’s what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________
RESOURCES:
Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science – https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) – https://bit.ly/3fkqEij
NLP – Natural Language Processing with Python – https://bit.ly/30w7iCB
Coursera Courses:
Database and SQL for Data Science – https://bit.ly/2zUk0zL
Data Analysis with Python – https://bit.ly/3geiVDG
Data Analysis Specialization – https://bit.ly/3dYJ6w0
Tableau Data Visualization – https://bit.ly/2AHCNPd
Favorite Books:
Python for Data Analysis Book – https://amzn.to/3dDneGq
SQL Beginner’s Guide to Managing and Analyzing With SQL Book – https://amzn.to/2X5341B
*Please note I may earn a small commission for any purchase through these links – Thanks for supporting the channel!*
____________________________________________
Music: Anodized
From: Microsoft Video Editor Background Music
*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*
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Learn more about the program here: http://bit.ly/2GVe8Xp
This is a 60-minute webinar recording with Prof. Mohanbir Sawhney to learn more about the upcoming Digital Marketing Strategies: Data, Automation, AI & Analytics (Online) program, followed by a Q&A session.
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In this video I talk about 9 ways I have used or seen others make extra income as a data scientist. These ways vary in difficulty, risk level, and the amount of money that you can make, but all of them have the potential to help you develop your skills and earn $$$.
#DataScience #DataScienceJobs #DataScienceIncome
1) Write for medium or start your own blog.
My Medium Articles: https://medium.com/@kenneth.b.jee
2) Complete in kaggle or topcoder competitions
Kaggle: https://www.kaggle.com/competitions
Top Coder: https://www.topcoder.com/challenges
3) Work as a data science contractor
Upwork : https://www.upwork.com/
4) Create a web-based product and generate traffic
5) Create a sports betting or daily fantasy advantage
rotogrinders: https://rotogrinders.com/
draftkings: https://www.draftkings.com/r/kjee1
6) Tutor or teach a class at a university
7) Apply your data science skills to finance
Robinhood: https://join.robinhood.com/kennetj785
Quantopian: https://www.quantopian.com/
8) Aggregate data and sell it through an API
9) Start a YouTube Channel
More from Ken Jee:
https://twitter.com/KenJee_DS
https://www.linkedin.com/in/kenjee/
https://medium.com/@kenneth.b.jee
https://kennethjee.com/
https://github.com/PlayingNumbers
My Stuff
Best Alarm Clock Ever: https://amzn.to/2MNrXJH
GIANT Sticky Pad: https://amzn.to/2IWBQDY
Creepy Mannequin: https://amzn.to/2MjzC3q
–
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Web-Cam: https://amzn.to/2OU1ptc
Monitor: https://amzn.to/2Bjp7ag
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4 UNIQUE DATA ANALYTICS JOBS // When it comes to data analyst jobs, there’s not just one single profile for every job. Rather, there are many different specialties to pick from depending on what interests you and what experience or training that you have. We’re looking at 4 unique data analytics jobs with very different focus areas.
Data analysts translate numbers into plain language so everyone else can understand them. Every business collects data, whether it’s sales figures, market research, logistics, or transportation costs. A data analyst’s job is to take that data and use it to help companies make better business decisions.
While that central work may be the same regardless of the specific role, the tools and types of data can be wildly different.
This video looks at marketing analysts, sales analysts, healthcare data analysts, and data visualization analysts.
💡 RESOURCES FROM JEN
• Become a Data Analyst eBook: https://thecareerforce.com/DA-book
• Become a Business Analyst eBook: https://thecareerforce.com/BA-book
• Think Like an Analyst training: http://thecareerforce.com/TLAA
• Build a great resume: https://thecareerforce.com/TCFResume
• Analytics career coaching: http://bit.ly/TCFCoaching
• FREE analytics career quiz: http://bit.ly/TCFCareerQuiz
🧰 OTHER RESOURCES:
Tools*: https://www.amazon.com/shop/thecareerforce
DataCamp*: https://thecareerforce.com/DataCamp
edx*: https://thecareerforce.com/edX
Coursera: https://thecareerforce.com/coursera
💬 CONNECT WITH ME:
https://thecareerforce.com
https://www.linkedin.com/company/the-career-force/
https://www.facebook.com/TheCareerForce
http://instagram.com/thecareerforce
#dataanalyst #datascience
https://youtu.be/dHF5cP5BeoU
* This is an affiliate link. At no additional cost to you, I will earn a commission if you decide to make a purchase after clicking through the link. I only promote products I have investigated and feel deliver value.
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DATA SCIENCE VS DATA ANALYSIS // Understand the differences between data science and data analysis in this video.
I’ll give you insight into these two similar activities, showing you how data science differs from data analytics based on my 15 years of experience working with them.
We’ll look at:
What is data science?
What is data analytics?
Where are data science and data analysis used?
What data science skills are needed to work in this field?
What data analysis skills are needed to work in this field?
What is a data scientist salary?
What is a data analyst salary?
__________
► HOW TO BECOME A DATA ANALYST. Get the eBook that lays out the skills you need, how to build them, and launch your career as a data analyst:
http://bit.ly/TCFDataAnalyst
► RESUMES. Build a great resume that puts you at the top of the candidate list. Designed to be straight-forward and highly effective:
http://bit.ly/TCFPerfectResume
► COACHING. Want to build a career in analytics? Get personalized coaching with me. Check out the details:
http://bit.ly/TCFCoaching
► FREE CAREER QUIZ. What’s the best analytics career path for you based on your background, skills, and interests? Take the quiz!
http://bit.ly/TCFCareerQuiz
__________
ANALYTICS RESOURCES:
DataCamp
http://bit.ly/TCFDataCamp
Coursera
http://bit.ly/TCFCoursera
Analytics setup
https://youtu.be/CBj_ClIDPrc
__________
CONNECT WITH ME:
Website: https://thecareerforce.com
Linked In: https://www.linkedin.com/company/the-career-force/
Facebook: https://www.facebook.com/TheCareerForce
Instagram: http://instagram.com/thecareerforce
NOTE: This description contains affiliate links meant to help you find valuable resources. This channel may earn minimal commissions if you use these links, but you are under no obligation to use them.
