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1. Build Your Career With Data Science Certification Data Science is a study which deals with identification, representation and extraction of meaningful information from data sources to be used for business purposes. With enormous amount of facts generating each minute, the requirement to extract the useful insights is a must for the businesses to stand out from the crowd. Data engineers setup the database and data storage in order to facilitatethe process of data mining, data munging and other processes. Every other organization is running behind profits, but the companies that formulate efficient strategies based on fresh and useful insights always win the game in the long-run. Data Science Definition This is an introduction to Data Science. Since Data Science is a wide-ranging field there isn’t a single way to define the role of a data scientist or the domain of data science. You might be wondering what does a data scientist do? So it is tough to get a simple data science meaning or to pinpoint who is a data scientist. The data scientist skill set includes in equal measure the statistics, analytical, programming skills and business acumen. Most of the data scientists have a strong background in mathematics or other domains of science and having a PhD is also a distinct possibility. Without the role of a Data Scientist, the value of big data cannot be

2. harnessed. So in today’s data-driven world data scientists are in huge demand to convert data into valuable business insights. Having knowledge of DataScience basics is quite useful in today’s data-driven world. What can you do with Data Science? Some of the tasks you can do with Data Science include: •Come up with conclusive research and open-ended questions •Extract large volumes of data from external and internal sources •Deploy statistical, machine learning and analytical methods •Clean, prune and get data ready for processing and analysis •Look at data from various angles to determine hidden patterns, relations and trends •Use a mix of algorithmic and automation tools •Redesign processes, systems using a data-driven approach Working with Data Science If you want to work in Data Science then there are certain qualities and skills that you need to possess. These are mathematical, statistical and analytical skills. You should be well-versed in the various programming languages like R, Python, SQL, Spark among others. Coming up with new algorithms in order to solve new problems is a very important skillset. Having knowledge of the various databases, combining data from various sources, processing it using the various tools and so on are some important skills. Data munging, data cleansing, data transformation are essential part of the skillset of any Data Scientist. Finally the data has to be converted into visual insights. This is where the various business reporting, charting, mapping and business intelligence dashboard skills come into the picture. All this means you need to have the right data science education. Why should we use Data Science? While the companies were going clueless about how to deal with this massive data and how to put it into use, data science evolved as a revolutionary concept and changed the entire game. Gradually, it has become a necessity for the companies to utilize the power of data science to harness the opportunities hidden in the complex business trends. What made data science to gain huge popularity in such a short span of time? Let’s have a look into it:

3. Accurate answers– Business strategies are better formulated when these are backed by accurate predictions and logic which is possible only through data science algorithms. A growing number of companies have realized the applications of data science and are investing in implementing this concept to serve their customers in a better way. Better decision-making ability– According to a study conducted by Harvard Business Review revealed that the companies which are data-driven perform better in objective financial and operational measurements. Moreover these companies earned 6% more profit than their rivals.Gone are the days when businesses relied upon the experience and past trends when it came to decision-making. Nowadays big data analytics has changed the present scenario and now the companies take the help of data science and dig deep into the data to find the logic and reason before making an important business move. Finds important business trends– Big Data scientists look into the data, find out the pattern and forecast on the basis of specific trends way before it is visible to the other subject matter experts. Going forward towards fulfilling the organizational goals, data science taps into the existing information and finds out significant trends for which the organization needs to be prepared with alternative strategies. Acting as a competitive advantage, it is beneficial to a great extent for the industry players in standing out from the rat race. Advantages of Data Science ➢Data scientist helps the management to come up with better and faster decisions ➢It empowers the decision-makers with solid data and outlines a path to achieve business goals ➢You can anticipate new challenges and opportunities through the power of data ➢Spotting trends and capitalizing on it before the competition ➢Setting the guidelines for best practices and tried and tested methodologies ➢Rigorously testing the decisions until it achieves perfection Key Features: •30 hours of Instructor Led Training •Lifetime Access to Recorded Sessions •Practical Approach •24/7 Support •Expert & Certified Trainers •Real World use cases and Scenarios.

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