Data skills are a combination of data analysis and computer data management. They involve gathering cleaning organizing searching for meaning and extracting information from data. Data is everywhere--in stock market transactions human genomes smartphones and more. It's about knowing which questions to ask and how best to answer them. And it's the foundation of policies that affect human lives. There is an increasing demand for data science skills but even if you do not graduate with a degree in data science there are many good courses to help you acquire the essential skills.

Why are Data Skills Important?

If you aren't working with data someone else is. And they might be using it to make decisions about your life without your knowledge or consent. Don't believe me? One exciting example of how this can happen involves Cambridge Analytica. It turned out that the company was able to exploit a loophole in Facebook's API to access millions of Facebook user profiles and was then able to use that information to target American voters with a tailored campaign. The company worked for both Ted Cruz and Donald Trump in the 2016 US presidential elections. 

How can it be useful for the students? 

1. Gain problem's solving skills: 

Data science isn't just for statistics and computer science majors. Doing data science means you'll be working with "real" data and will need to figure out how to get the information you need from it. This requires problem-solving skills--the ability to understand a problematic question come up with possible solutions and evaluate them for effectiveness organizing your work well along the way.

1. Data knowledge:

You don't need to know how to code or use complex mathematical formulas to do data analysis as many tools such as Microsoft Excel can be used. However it's essential to understand what those tools mean and how they work. Without that knowledge it's impossible to ask the right questions and get good answers.

1. Downloading the data:

You must know where to find relevant data sets and how to download them to your computer for analysis. Many data repositories such as Kaggle Big Query Data.gov Google Fusion Tables and open-source projects.

1. Analyze the data:

Many useful tools allow you to visualize your data such as Tableau Qlikview or Microsoft Power BI. Also most software companies offer free versions of their products with limitations on the size of databases. There are open-source alternatives for advanced users who want additional options.

How can it be useful for the Companies? 

1. Data scientists will play a significant role in the future of business because as companies grow larger and their data grows more complex they'll need people who can make sense (and use) of it all. Most organizations now recognize that they'll need to better analyze customer data to improve their marketing efforts. This is helping foster the rise of data science in business.
2. For small and mid-sized businesses with fewer resources opportunities are even greater because there's more room for you to grow into a leadership role. You can provide essential insights to help these companies compete against larger rivals.
3. Data scientists are often responsible for creating automated decision-making processes by building algorithms that help make critical business decisions. This is an important job because it ensures that the right decisions will be made no matter who is in charge of the company.
4. Data scientists can work with companies to transform their data into stories using sophisticated statistical analysis techniques. As an example they could identify the best time to send marketing materials to customers or suggest ways for a company to increase its profits.

Data camp vs Udemy? Which is better to learn data skills?  

Why Udemy? 

Udemy is an online learning platform. It gives anyone access to the world's largest collection of online courses on everything from programming to yoga to photography—and much more. Millions of students are signing up! Udemy believes that learning should be available for everyone everywhere at any time. With the Udemy app you can learn anytime on any device.

Udemy has course completion certificates. Udemy courses are self-paced so the instructor can offer any certification they want. If you complete a course on data science basics or data analysis for example you'll get a completion certificate from the instructor to prove it. Udemy is affordable. Data science boot camps might cost over $10000. Udemy courses are affordable and well worth the price.

IMPORTANT POINTS TO KNOW ABOUT UDEMY:

1. Udemy provides lessons and tutorials online on a wide selection of topics.
2. You can learn any skill you want on Udemy such as big data computer programming (Python C++ Java) data analytics (R SAS SQL) web development (HTML CSS3) mobile apps development (IOS Android) digital marketing data visualization and much more.
3.  Udemy gives you access to the world's most extensive collection of online courses on anything you want to learn with lifetime access at one low monthly price with over 30000+ instructors teaching in areas both personal and professional.
4.  Udemy provides new lectures and online training sessions daily so you can always get new courses whenever you want to learn something new.
5. You can find any course by typing in the search bar or browsing different topics such as: "data science" "big data" "python" "javascript" etc.
6. If you decide to take a course or courses on Udemy your instructor can personally help you until you master the skill. 

PROS AND CONS 

PROS:

1. Udemy is Affordable
2. Udemy gives you Free Courses
3. Udemy gives you 30 Days Refund
4. Udemy has Lifetime Access
5. Udemy is Wide Selection
6. Udemy gives you a Certificate at Completion 

Cons:

1. Udemy has No Academic credit
2. Udemy Can be price

Review About Udemy: 

Online evaluations from students are more appealing since Udemy enables learners to learn from the world's top experts with a connection. The platform has a collection of over 30000 courses from experts in 80+ topics.

 We all know that online education is changing the way we teach and learn. Udemy brings you the best instructors in multiple areas like business programming design fitness blogging etc. There are plenty of free courses but many also offer paid options.

 Most courses are taught on-demand and you can take them at your own pace; every course includes a discussion board where you can interact with the instructor and your fellow students. The best part is that most of the courses are free. And even the paid courses cost is far less than what you pay at a local college or university.    

You can find data science courses to teach you how to analyze data use Python for machine learning and more. Udemy's data science tutorials include everything from the very basics of programming to advanced statistical techniques. If you want to learn data science online Udemy is your best bet. s. Udemy provides lessons and tutorials online on a wide selection of topics. You can learn any skill you want on Udemy such as big data computer programming (Python C++ Java) data analytics (R SAS SQL) web development (HTML CSS3) mobile apps development (IOS Android) digital marketing data visualization and much more.

Why Datacamp? 



Data camp is another learning platform and it's competitive at its level; they offer courses like Python R SQL spreadsheet BI tools and theory. Data camp is in the top 10% of the fastest-growing companies in the Americas. Data camp offers courses to people interested in becoming data scientists or people who want to advance their knowledge significantly. 

Learning new things means acquiring new knowledge or skills in any industry you want like IT or healthcare which is crucial nowadays. The Data camp platform relies on subscriptions to make money and they have a free plan that gives you access to only the first chapter of every course but if you want to enroll for the entire duration you must pay $12.42 per month. 

IMPORTANT POINTS TO KNOW ABOUT DATACAMP: 

1. Establish in 2013 specialized topics like data science and analytics.
2. It offers 350+ courses taught by one of the 260+experts' instructors from Datacamp.
3. All its courses are interactive and designed so you can learn at your place.
4. Big companies like Paypal google intel uber use the Datacamp platform to train their employees in programming and data science.
5. They also have a skill path to acquire data skills which is much more organized and they also have an assessment to check their skill level. 

PROS AND CONS 

PROS:

1. Datacamp is Interactive & Engaging
2. Datacamp has Experienced experts
3. Datacamp has Free Plan
4. Datacamp clear pricing plans
5. Datacamp has a wide range 

CONS:

1. Datacamp is Not a verified certificate
2. Datacamp has Video Content Lacking Details 

REVIEWS ABOUT DATACAMP 

You learn by doing and applying what you've learned in small chunks in guided exercises so you can easily remember as you advance into the next level. You have different practice quizzes and projects to fix concepts and move on to the actual coding practice. The practice sections serve as a reminder to sections that have long been treated as you can engage in the practice session daily. And the entire platform is so easy to use and make the most out of each section. Datacamp is a great tool to learn SQL Python and programming languages. You don't need to memorize anything. It teaches you great examples and you can know them in every aspect. for working a mouth-watering learning experience.

Which is better Datacamp or Udemy?

We have shared two of the platforms that are considered as one of the best options but all we can say is Datacamp is better if you are a beginner wanting to learn while practicing. Their structured career path and interactive environment let you know many things for a single membership fee. On the contrary if you want to join individual courses at affordable prices Udemy is the better platform.