Beginners Guide to Data Science

Beginners Guide to Data Science
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Quantum computing and data science are in high demand these days. Machine learning also comes with it as the processing of information based on faster and accelerated learning. Data science has made it very easy to solve complex problems in the shortest time. 

According to researchers, data scientists have one of the best jobs around the globe. The field is relatively new and vaguely defined but it’s definitely growing. Data Science applications are never-ending in this competitive world. 

You’ll get an idea about what is Data Science course.

What is Data Science?

Data science refers to an unstructured or structural data-based field comprising of its processes, scientific methods, algorithms, and systems for extracting insights. Overall, data Science is related to deep learning and data mining to deal with big data in the shortest possible time. 

Need for Data Science

For starting with data science, the candidates need to possess knowledge related to Machine Learning, Mathematical Modeling, Statistics, Computer Programming, as well as Databases.

The principal purpose is to find patterns with data. It makes use of Statistical Techniques for analyzing and drawing insights from the data. It emphasizes on getting insights into extraction, wrangling, and preprocessing.

So, a data scientist learns scrutinizing the data and making predictions from the data. The goal is to derive a conclusion related to the data. Based on these conclusions, they assist the companies in making smarter business decisions.

Overall, the data scientist plays a major role for companies to grow with their everyday business. The data scientist helps in achieving their goals and making better decisions that let them stand ahead in the competition. They identify the data that stands out and encrypts them in a proper manner. They also design networks, statistical path, and big data methodologies. 

Data Science Salary

The median starting Data Science salary for the data scientists remains constant at around $ 95000. With the advancement in knowledge, the salary goes to a level of around $ 128750. When the data scientist gets the managerial role, they get a salary that rises to around $ 185000. According to some recent updates, the fact revealed is that a data scientist surpasses the other in-demand jobs. Moreover, it’s a better one when compared to the jobs of the software engineer and product managers. 

Data Science Jobs

There are different Data Science job roles.

  • The data analyst 

Some companies hire the data analyst who manages the task of pulling data out of the SQL database. They are also excelled in the management of Excel or Tableau. They are responsible for producing basic data visualization and conducting an analysis of the results based on the test that takes the lead on the company’s account for Google Analytics.

  • The data engineer 

Companies also hire data engineers who can handle a lot of traffic. Besides, they also have the ability to fulfill the demand for providing analysis. These professionals are required to have heavy statistics and machine learning skills. So, this job post becomes a great opportunity to shine and grow. 

  • The machine learning engineer 

Some companies want data analysis of their data in particular products. For that, they look for professionals who are experts in data analysis and machine learning. For getting this job role, the candidates are required to have knowledge about formal Mathematics, Physics, statistics, and a bit more of the academic path knowledge.

  • The data scientist generalist 

Some companies look for the generalist for joining the established team of other data scientists. They are important in solving Analysis, visualization of data, touch production code, and so on. They are quite familiar with the tools for handling big data and also have enough experience to hold real-life data sets.

Data Science Course

At SSDN Technologies, the Data Science course comes with reliable aspects to give you detailed learnings. Besides, the live sessions by the instructor help gain skills in the shortest possible time. Overall, the course favours interactive learning. Data Scientists can go ahead with the course to get in-depth knowledge about topics like data science, Statistical Methods, Machine Learning algorithms, Data Acquisition, Data Analytics, predictive analytics, data structure, etc. Besides, the course also focuses on working on building a recommendation engine for an e-commerce site. The data scientists get advanced knowledge to deal with the real-time capstone project.

Some of the major topics covered in the course are Introduction to Data Science, its importance, knowledge about Experimentation, evaluation and project deployment tools. 

The candidates also get brilliant ideas about the Data Science life cycle and Data acquisition. The course teaches about various Machine Learning algorithms. It focuses on learning about predictive analytics and segmentation using the method of clustering. The course presents Fundamentals of Big Data Hadoop integration with the availability of R. The professionals also train them in terms of acquiring knowledge about the roles and responsibilities of a Data Scientist. The candidates get precise knowledge about how to use real-world data sets for the deployment of recommender systems. The advanced course teaches about working on data mining, data structures, as well as data manipulation.

Data Science Certifications

There are various Data Science certification courses that are perfect for fetching you good prospects. Some of them are – 

  • Certified Analytics Professional (CAP)
  •  Cloudera Certified Professional for CCP Data Engineer
  • Cloudera Certified Associate for Data Analyst
  • Data Science Council of America (DASCA)
  •  Principle Data Scientist (PDS)
  • Data Science Council of America (DASCA) 
  • Senior Data Scientist (SDS)
  •  Google Certified Professional Data Engineer
  •  Dell EMC Data Science Track
  • IBM Data Science Professional Certificate
  • Google Data and Machine Learning
  • Microsoft Certified Azure Data Scientist Associate
  • Microsoft MCSE for Data Management and Analytics
  • Open Certified Data Scientist (Open CDS)
  • SAS Certified Big Data Professional
  • SAS Certified Advanced Analytics Professional
  • SAS Certified Data Scientist

Conclusion

So, if you want to pursue data science as a career, be ready to get through the certification course for the same. The learned professionals at SSDN Technologies will train you adequately for a better future.

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