{"id":314,"date":"2023-02-06T11:52:56","date_gmt":"2023-02-06T11:52:56","guid":{"rendered":"https:\/\/www.esiphala.lk\/blog\/?p=314"},"modified":"2023-02-06T12:05:13","modified_gmt":"2023-02-06T12:05:13","slug":"guide-to-learning-advanced-data-science-via-online-courses","status":"publish","type":"post","link":"https:\/\/www.esiphala.lk\/blog\/guide-to-learning-advanced-data-science-via-online-courses\/","title":{"rendered":"Guide To Learning Advanced Data Science Via Online Courses!"},"content":{"rendered":"

We live in a busy world where everything is getting smarter every minute. Therefore, the importance of Data science is increasing rapidly why. What exactly is data science? The study deals with a vast range of data using modern tools and technology to find unseen patterns, derive information, and make business decisions based on them. It can be applied to any field of study, whether medical, educational, or industrial. A well-reputed Data science course is an added advantage to anyone who looks at a promising future in a rapidly changing world.<\/p>\n

What is Data Science?<\/strong><\/h2>\n

Knowing data science can help you get the correct grip on the subject and derive its maximum advantage and benefits. Data is more critical than anything else today in a world full of uncertainty. Businesses, as well as lifestyles, changes rapidly to get adapted to the New Normal, which happens frequently. So, employers look for the skill competencies to help them organize, optimize, and analyze the current situations and the resources to make data-driven decisions. Therefore, competency and skills in data science will be high-level qualifications in the future.<\/p>\n

If anyone Is interested in further pursuing studies as well as a carrier in data sciences, they need to reach the best institutions and courses. Acquiring the skill right the first time can help pick up the correct carrier path in many industries.<\/p>\n

So the simple definition of data science is gathering, analyzing, and interpreting data to help an organization’s decision-making be simple and accurate. It is a domain of study that works with a vast volume of data using all the modern tools and techniques to find and study unseen patterns, derive meaningful information, and use them in business decisions in a meaningful way. Most of the time, data science works with algorithms to build predictive modules.<\/p>\n

Among the main components of Data science, statistics, visualization, deep learning, and machine learning are the key areas. A good data scientist can get unimportant data and combine them with other data points to generate insights that organizations can use for their growth.<\/p>\n

Advanced data science course<\/strong><\/h2>\n

An advanced data science course includes several fields of study. Big data and database management, interactive visualization, non-linear statistical models, and deep learning are the key area to focus on. But remember, the most challenging part of Data science is finding the Data. Though it sounds ironic, it is a tuff job. Also, it is surprising to know that the “right data” is lacking most. So this results in creating difficulties in building up effective, analytical models.<\/p>\n

Best advanced data science courses<\/strong><\/h2>\n

Before getting enrolled in an advanced data science course, make sure to carry out your research on what would suit you most. We have mentioned some well-reputed courses, and we are confident they will ease your stress on researching the best option.<\/p>\n

Below are some well-reputed institutes and universities that offer genuine value for money. <\/strong><\/h3>\n
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  1. Johns Hopkins University (Coursera) \u2014 Data Science Specialization<\/li>\n
  2. IBM (Coursera) \u2014 Data Science Professional Certificate<\/a><\/li>\n
  3. MIT (edX) \u2014 Micro Master’s Program in Statistics and Data Science<\/li>\n
  4. Coursera \u2014 Deep Learning Specialization.<\/li>\n
  5. UpGrad \u2014 PG Diploma, PG Certificate, and MS in Data Science.<\/li>\n<\/ol>\n

    Here are a few courses separately in specific areas; if you wish to expand your knowledge about a particular area, you can get a rough idea from the courses below.<\/p>\n

    Data Science with R Programming<\/strong><\/h4>\n