Best data science certification online, What is Data Science?

Best data science certification online
Best data science certification online

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Best data science certification online

Hey, Guys…! So today we are back again with some interesting topic Best data science certification online. We all know the world of information technology and data science has been raised tremendously. We have seen a several changes in the Data Technology. Survey says now we have the Data more than 40 zeta bytes. Data science field has so many courses to learn and also we have best data science certification online.

What is Data Science?

Best data science certification online
Best data science certification online

Data science has been a trending field of study in recent times. This is because of the amount of data that we create constantly and the computing power that is available with advancements in technology. But What is data science? Think about what happens when you book a ride on Uber. You open the Uber app on your phone and tell the app where you want to go. Uber tries to find the nearest cab. Since then the directions to come to pick you up and take you to your destination.

That was simple. But in the background, the seemingly simple task is carried out by collecting mountains of data from various sources. Like the phones, the map, and historical trends of traffic and demand for rides. With this data modern day computers are programmed to calculate the nearest driver to you. The best route to your location and destination. The time it will take and what you should pay. In other words, this is made possible with data science.

Best data science certification online has countless other applications as well. It is at the intersection of Statistics,data analysis and machine learning. It is a combination of scientific methods,models and algorithms working together to extract actionable business insights from data. And one point five million managers who can analyze big data to make effective decisions.

The average salary of a data scientist is around $118000. So still interested in data science as a profession. Continue on to learn more about who can become a data scientist. Why data scientists matter. What is data science lifecycle? The career prospects for Data Science. Data is the oil of our generation. Data science is becoming indispensable in today’s digitally driven world. Helping businesses understand consumer behavior, fine-tune its messaging and capture new market share. To become a data scientist you don’t need to have a technical background to be a data scientist. What you do need is in-depth knowledge and mathematics, analytical reasoning the ability to work with large amounts of data. It would also help to have a strong intellectual quest.

Knowledge of data engineering, visualization ability and excellent business acumen. If you do come from a non-technical background you will likely use R. If you are from a technical background then you could use python and r. It is all about understanding the possibilities and asking the right questions all in the search for the best answers. Every company is flooded with data. And they have more data than they know what to do with. So regardless of the industry vertical, data science is likely to play a key role in your organization’s future success.

Best data science certification online scientists help find new ways of reducing costs, entering new markets and customer demographics. And launching new products or services. Data science also has found social and medical applications such as child welfare and predictive diagnosis as well. So what does the typical data science lifecycle look like?

The data discovery step includes the search for different sources of relevant data. Structured or unstructured data. Then you make a decision to include specific data sets into your analysis. The data preparation includes converting data from different sources into a common format. You will standardize the data. Look for anomalies and make it more appropriate to work with. The data science models are built using statistics, logistic and linear regression. Differential and integral calculus among other mathematical techniques. You could use tools like R, Python, SRS, SQL, Tableau and so on.

Getting things in action phase includes checking the data models for its effectiveness and ability to deliver the results. You will have to verify the model works if not you have to rework on your model. A data scientist needs to liaison with the various teams and be able to seamlessly communicate his findings to key stakeholders and decision makers in the organization. Another critical element of data science are algorithms which are a process of set of rules to solve a certain problem. Some of the important data science algorithms include regression, classification and clustering techniques.

Decision Trees and random forest Machine learning techniques like supervised, unsupervised and reinforcement learning. In addition to these there are many algorithms that organizations develop to serve their unique needs.

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Big data is driven by the data science revolution. Big data is the engine propelling the rise of data science. Hadoop is a popular big data framework used by most organizations. Hadoop works in a distributed manner wherein both the processing and storing of data is distributed on commodity hardware. Hadoop is easily scalable, highly economical, fault tolerant and secure. Hadoop consists of Hadoop distributed file system or HDFS for storing data and uses map reduce for processing data.

Another emerging framework is Apache Spark, which is touted to be up to 100 times faster than map reduce. Spark Stores the data and the RAM so iterative processing is fast and efficient. It also deploys a direct acyclic graph or D.A.G for processing of data. There is a huge demand and supply mismatch when it comes to data scientists. Due to this, salaries of data scientists are among the best in the industry.

Top companies like Amazon, Google, Facebook, Microsoft in the tech space to others like Exxon Mobile. Visa, Boeing, General Electric and Bank of America are actively hiring data scientists.

Now that you have learned about data science, why data science is indispensable, the data science lifecycle, how it relates to big data. It is time you start your journey in this promising domain and see your career soar.

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