Big Data 0 comments on Basics of Big Data

Basics of Big Data

Start with the option of choosing from modeled on-demand or instructor-oriented learning options about Big Data. These courses will help you develop skills in Big Data Analytics. Depending upon your expertise and knowledge, you can choose the duration of the course.  The curriculum followed during the study is to train you to store, manage, and most importantly analyze specific kinds of unstructured data. Furthermore, you will develop the ability to work on the following:

  • How to select the correct type of big data stores for contrasting data sets
  • Using Hadoop training to assimilate more massive data sets into smaller yet essential forms, extract valuable data
  • How to map out a plan and execute the strategy for your organization. 

The IBM Community offers some of the best training to look up to in the field of Big Data. Free and accessible e-books are also available at the websites of the IBM Community, work best for taking a better look at the course structure. 

IBM offers the Big Data University studies that have enrolled approx 40,000 students. The courses are provided free of cost, but follow a business-centric approach of teaching, which makes it stand out from the rest of the online courses.

The students can move forward at a comfortable pace and can choose either to study from home or work-study materials that are available on the website which are supplied by a third party. 

To overcome the barriers set by the limited availability of time and money, IBM has taken the initiative to make study materials available for every enrolled student. 

The Big Data Hadoop Certification Training course is an industry level recognized training with certification. It is a mixture of training courses taught in Hadoop developer, Hadoop administrator, Hadoop testing and analytics with Apache Spark. It gets you ready for a deeper understanding of the Big Data framework. 

The Hadoop Certification course is designed in such a way that at the end of it, you are skilled with real-time data processing. You learn functional programming, know spark applications, and understand the functioning of parallel processing.  

Choosing a career pathway that leads to Big Data Framework is a smart choice based on new analytics on the development prospects of this field.

Find out more about Big Data courses at Get Me A Course.

All, Big Data, Data Science 0 comments on Top 10 courses for data analytics online

Top 10 courses for data analytics online

With the ever-advancing world, data analytics has become an essential part of career development. With the surge in popularity of data science, a multitude of online courses have come up to help anyone with a chance to enhance their data analytics skills.

To help you choose the best, the top 10 data science online courses are listed below: 

  • Data analysis and presentation skill course, the PwC specialization: This program is a perfect suit for people without a programming background. It consists of 5 courses such as problem-solving in Excel, project management, advanced Excel working, and business presentation in PowerPoint, along with data-driven decision-making skills.
  • Data Science Specialization: Consisting of 10 courses, including concepts of algorithms, statistics, and data science, it takes 43 weeks for completion. It also pays attention to R programming. This course is recommended for people with a programming background.
  • Big Data Specialization: 30 weeks are required to cover all the six courses under this topic. It focuses on the main aspects of big data, ranging from a basic introduction to processing and visual analytics.
  • Statistics with R: With five courses in total, the aim is to visualize and analyze data in R. This helps in creating reproducible data analytics reports, and understand the statistical inference with specifics of Bayesian statistical inference.
  • EDX: Microsoft Professional Program in Data Science has nine courses in total, covering up the basics and advanced programming of data science. It involves the programming languages, Python and R, as well. It takes 56-58 weeks for completion.
  • Marketing Analytics: This program is classified into four courses: Marketing Measurement Strategy, Price and Promotion Analytics, Competitive Analytics & Marketing Segmentation, and Products, Distribution, and Sales. It takes at least 16 weeks to complete this course.
  • Big Data Fundamentals: The shortest data science online course of just 14 hours, this one comprises of 3 courses that give you a brief introduction to Big data.
  • Advanced-Data Structures: As the name indicates, this is a broader spectrum comprising of all different kinds of data structures. It covers all the types, starting from statistics to maps, geometric data structures, etc. It also focuses on the significant aspects of research in the data structure field.
  • Python: The course concentrates on the basics of the Python programming language. Knowledge of this language is crucial for data analytics.
  • Java-tutorial for complete beginners: Suitable for beginners with no prior knowledge or experience in programming. It provides the necessary training to learn basic Java.

Now that you know what specifics to look for, head for the listings at Get Me A Course to find a course that suits your needs.

Big Data, Data Science 0 comments on How to start your Data Analytics education

How to start your Data Analytics education

Jumping into Data Analytics can seem as though you’re walking into a whirlpool. There are so many options, websites and courses that it can be tough to figure out which direction to go in. However, as long as you approach it smartly there’s no reason to get overwhelmed. In today’s open digital economy you can get a top science education for free or for almost free. How do you do that? 

First things first – 

  • Don’t try to string it out on your own

It might be tempting to just learn as you go along especially if you come from a mathematics or programming background. However, regardless of your background, it’s better to build your skills through a structured course. The danger of a do-it-yourself approach lies not in the chance of failure but rather in appearing to succeed. Unless you’re careful it’s easy to develop relations or derive insights from data where none exists. This could easily lead to catastrophic problems, especially if you plan to take business decisions on these data insights. Don’t try to be a cowboy. Go learn from the pros.

  • Consider your goals

Ok, you want to learn Data Analytics, but to what end? Are you looking for a career change? Do you want to polish your resume? Do you want to utilize the data that your business generates, in a better way?  

These are important questions to consider. Depending on what your answer is, your learning path will differ vastly. For those considering a career change, a micro masters package might be ideal, while a simple 3-week course could do for a business owner looking to get savvy. 

Once you’ve done that you can browse through the thousands of courses available on Coursera, Udemy and  Edx. If you feel overwhelmed by the number of options, you might just want to use something like Get Me A Course to find the most appropriate course for you. 

  • Avoid buying stuff

I cannot emphasize this enough. There are loads of free resources available from both the top companies and colleges across the world. Stanford, Google and IBM are just some of the top organizations in the world offering free data analytics courses. Don’t pay astronomical prices when you can get great content for free.

However, this doesn’t mean don’t buy material. If you’re sure about the path you’re pursuing and are confident you’re getting the best results for your money, then it might make sense to go for paid courses. Make sure you’re fully aware of certification type and criteria before you start. 

  • Slog it out no matter what

An education half-done is worse than no education at all, especially when it comes to data analytics. No matter how tough it gets, slog it out till the end. There are terabytes of data waiting for you at the other end!

Artificial Intelligence, Big Data, Data Science, E-learning, Education, Machine Learning 0 comments on 13 Top Tech Skills In High Demand For 2018

13 Top Tech Skills In High Demand For 2018


The number of tech employment opportunities is expected to increase by 12% by 2024, which will lead to more and more jobs becoming available to IT professionals looking to get into the space, according to a report by Modis. With the number of tech positions in web development, biomedical engineering, cybersecurity and analysis expected to grow exponentially within the next year, one may find the competition to acquire a skilled job candidate harder than they think. Continue Reading “13 Top Tech Skills In High Demand For 2018”

Big Data, Education 0 comments on The 21 Most Valuable Career Skills Now

The 21 Most Valuable Career Skills Now

In this complex, fast-changing job market, just putting in the hours and being good at what you do may not be enough. You need an edge. And the surest one these days is to possess the skills that are most in demand in your field, that help your employer keep up with the technological, economic, and social forces that are transforming so many industries. The key, of course, is to know exactly what those skills are, how to get them, and what the payoff will be. Continue Reading “The 21 Most Valuable Career Skills Now”

Artificial Intelligence, Big Data, Education, Machine Learning 0 comments on The Top 10 Technology Trends of 2018

The Top 10 Technology Trends of 2018

Top 10 Technology Trends of 2018

2017 became the Year of Intelligence: the advance of technological achievements has triggered exciting and unexpected trends with wider impact horizons and very promising business prospects. This year we expect drastic exponential changes in every technological direction. Machine learning and artificial intelligence will transform the entire industries, making way for virtual helpers and a myriad of cases for automatization. The Internet of Things (IoT) will become more intelligent, uncovering a huge potential for smart homes and smart cities. A more efficient human-machine interaction will become established with the natural language replacing specific commands. Continue Reading “The Top 10 Technology Trends of 2018”

Big Data, Data Science, E-learning, Online Courses, Science 0 comments on Deep Learning helps you process images like a Pro

Deep Learning helps you process images like a Pro

Image processing is one of the most exciting applications of Artificial Intelligence and Deep Learning. Through it, you can train a computer to see and interpret images similar to the way humans perceive images.

In this article, you’ll learn how to use a deep learning model to transfer painting styles with TensorFlow, a machine learning software library first developed by Google. This is a project straight from our Deep Learning Nanodegree program. Continue Reading “Deep Learning helps you process images like a Pro”