AI News, How to Data Science without a Degree
How to Data Science without a Degree
Now you should have better idea of data science and statistical methods.
For example, DeepLearning.ai on Coursera gives you a very good and practical side of deep learning where as Stanford’s CS231n Computer Vision course delves much deeper.
In this phase, take the following: Again, there are other resources like DataCamp, Udacity, edX, and fast.ai that you can check out to learn various topics.
If you are in a data science program, most classes make you complete machine learning projects, which are very good to practice your skills and to show the employers what you have done.
Also, even though it is not necessary, I suggest you to have some example codes and projects you have completed on Github to show them to future employers.
API-driven services bring intelligence to any application
Developed by AWS and Microsoft, Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.
More seasoned data scientists and researchers will value the ability to build prototypes quickly and utilize dynamic neural network graphs for entirely new model architectures, all without sacrificing training speed.
The 25 Most Popular Online Classes This Year
It is a list of the 25 LinkedIn Learning courses professionals viewed the most so far in 2017, a testament to both the need for that skill and the effectiveness of the course: Instructor: Carol Kinsey Goman Course Description: In this course, workplace body-language expert Carol Kinsey Goman, PhD, reveals how body language is perceived and often misread, and shares the six nonverbal signals you need to know to make a positive first impression.
Instructor: Bonnie Biafore Course Description: In this course, Bonnie Biafore explains the fundamentals of project management, from defining the problem, establishing project goals and objectives and building a project plan to managing team resources, meeting deadlines and closing the project.
Taylor then covers how to perform advanced searching and data retrieval with Lookup functions, tabulate and sort data with counting and statistical functions, format data with text and math functions and work with financial data using advanced formulas.
She helps job seekers understand the modern job search and make the most of recruiters, specifically how to use recruiters in the LinkedIn marketplace, how to understand the role of the resume and cover letters in the job search process and how to connect and follow up with a recruiter.
Instructor: Brad Batesole Course Description: In this course, Brad Batesole explains today's digital marketing techniques in simple terms, demonstrating how to build a successful online marketing campaign for all digital channels: search, video, social, email and display.
See how to connect with communities on the leading social networks, learn best practices for developing and distributing video marketing content and find out what makes an email marketing campaign successful.
Instructor: Todd Dewett Course Description: In this short course, author Todd Dewett, PhD, shares four time-management tips that help everyone from busy executives to new employees get more out of their work day.
Here he reviews the history of data science and analytics, explores which markets are using big data the most, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics and visualization.
Learn how to use agile for the right projects and then walk through the four major phases in the cycle, from scoping the work and designing your sprint structure to collecting requirements, managing the project without interfering in the rapid build process, adapting to feedback and closing the project.
In the bonus chapter, Bob discusses real-life challenges he has encountered running agile projects, giving you real-world perspective into the project life cycle.
Author Dennis Taylor teaches you how to enter and organize data, perform calculations with simple functions, work with multiple worksheets, format the appearance of your data and build charts and PivotTables.
Learn how to best enter and organize data, perform calculations with simple functions, work with multiple worksheets, format the appearance of your data and cells and build charts and PivotTables.
Whether you're at your current job or making a leap to the next, this course will help compare your expectations and performance with others, and negotiate for not only the best take-home pay, but also a combination of benefits, such as vacation days and flextime, that work for both you and your employer.
He reveals how to define the problem you're trying to solve and then provides a number of critical thinking tools, such as blowing up the business, asking the five whys, asking the seven so whats, using the 80/20 rule and more.
She then shows how to identify your data set, interpret and summarize data and perform specialized tasks such as creating workflow diagrams, cleaning data and joining data sets for reporting.
Instructor: Dennis Taylor Course Description: This tips-based course will show Excel users productivity-boosting tricks, cool hidden features, need-to-know functions and advanced content on subjects such as using PivotTables for data analysis.
He shows how to obtain data from legitimate open-source repositories via web APIs and page scraping, and introduces specific technologies (R, Python, and SQL) and techniques (support vector machines and random forests) for analysis.
In this course, leadership consultant Britt Andreatta explains what real leadership is, how to assess your strengths and ways to cultivate the traits the best leaders employ to make their organizations strong and innovative.
The course includes information on developing and mentoring your team, creating an engaging workplace, developing political savvy, analyzing your industry and honing your emotional intelligence.
In this course, author and Fortune 500 sales coach Jeff Bloomfield provides an alternative, based on the principle that effective sales start with focusing on the issues that matter most to your customers.
Discover how to implement foundational optimization strategies and techniques, including how to conduct keyword research, build inbound links, optimize your pages and content, measure your successes and progress and plan for a long-term SEO strategy.
He'll go over the basic concepts, including critical-to-quality (CTQ) requirements, variation, defects per million opportunities (DPMO), the roles and belts of Six Sigma professionals and the criteria for identifying Six Sigma projects successfully.
More and more people are considering joining the field, which is why the seventh course on this list – the one on data scientists career paths, a course for someone thinking about getting into data science – is so popular.
- On 10. juli 2020
END to END SPARK PROJECT ARCHITECTURE 2018 07 15
Spark Streaming | Twitter Sentiment Analysis Example | Apache Spark Training | Edureka
Apache Spark Training - ) This Edureka Spark Streaming Tutorial (Spark Streaming blog: ..
Hadoop Tutorial For Beginners | Apache Hadoop Tutorial | Hadoop Training | Edureka
Hadoop Training: ) This Edureka "Hadoop Tutorial" video will help you to solve US Primary Election & Instant Cab use-cases
BigQuery Nested and Repeated Fields: Dig Deeper into Data (Cloud Next '18)
Are you ready to take your knowledge of SQL to its final frontiers? Join this session to learn how you can use BigQuery and its SQL 2011 compliant features to ...
Intro to Apache Spark Streaming | NewCircle Training
[Topics Indexed below] Spark Streaming is a scalable, high-throughput, fault-tolerant tool set for consuming continual streams of data using the Apache Spark ...
The Secret step-by-step Guide to learn Hacking
totally clickbait. but also not clickbait. I don't know where to start hacking, there is no guide to learn this stuff. But I hope you still have a plan now! How to learn ...
Snowflake Computing top interview questions and answers for freshers /experienced online Lectures
Snowflake Computing top most interview questions and answers for freshers / experienced online videos Lectures cloud computing tutorial for beginners cloud ...
Machine Learning Tutorial 28 - Bar Plots (Bar Graphs)
Best Machine Learning book: (Fundamentals Of Machine Learning for Predictive Data Analytics). Machine Learning and Predictive ..
Spark Inner Working Part 1
In this Week of Project CORE, from the exciting part of E-commerce section we would see how Hadoop works, if you have not enrolled in Project CORE then ...
Java Programmer | Java Programmer Job | What a Java Developer Does | Java Developer Work in Company
This Java Programmer Tutorial will help you understand: 1. What is Java? ( 0:24 ) 2. Why use Java? ( 1:05 ) 3. Where can Java be used? ( 1:41 ) 4. Who is a ...