The need for data harvesting and mining is growing in a broad range of areas, ranging from banking to insurance, retail, telecom, medicine, research, and government. This course provides aspiring data engineers and data scientists with the knowledge and tools they need to do proper data ingestion and analytics using R. R is a free software environment for statistical computing and graphics that is growing in popularity, as it gives quick results and is well supported by a worldwide community of users and developers.
By scouring databases for hidden patterns, data mining experts can find predictive information that helps to make informed business decisions and enhance profitability. You will understand practical and efficient methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Participants will be introduced to data scraping, APIs, and parsing along with various topics in data analytics such as statistical analysis, plotting, linear regression/ANOVA, PCA (Principal Component Analysis), Clustering, Factor Analysis, and time series/ARIMA. An overview of data scraping and parsing in Python using BeautifulSoup is also covered.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut.
The workshop was great. I learned the methodologies well and passed the exam.Attended workshop in January 2018
Comprehensive training from the ground up, setting me up for a successful certification and effective adoption at the workplace.Attended workshop in January 2018
I attended CSPO (Certified Scrum Product Owner) training session by Knowledgehut in Bangalore on Dec 21-22. The trainer did an excellent job of incorporating everyone’s experience and his experience in all the companies he worked on earlier. He even answered all doubts/questions separately, did not leave a single question unanswered.The facilities in the venue (Davanam Sarovar, Madiwala) was also managed very well.Attended workshop in December 2017
I attended CSPO training in Goregaon(W) on January 9th&10th by prof. Sekhar burra. It was a great learning experience. Sekhar's approach to this training was amazing as he cleared in the start what to expect from this course and how it will help us streamline the process followed in our organization. It's very tough to cover all the things in 2 days but the way Sekhar manage it is really commendable. I would recommend this course to all the aspirants.Attended workshop in January 2018
To attend this course, candidates must have prior programming knowledge and knowledge of RDMS.
Data mining and analytics comes with great potential to help companies, as they can extract hidden predictive data from large databases and use it to predict future trends and behaviors. Data mining tools are able to find answers to questions that were earlier considered too time consuming to resolve. This allows businesses to make proactive, data-driven decisions and enhance viable business opportunities.
Our expert facilitators will help you understand how to collect and refine massive amounts of information, and discover hidden value in your warehouse of data. You will increase your employment opportunities, as you can put yourself on the radar of corporate businesses looking for data experts.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
Please send in an email to firstname.lastname@example.org, and we will answer any queries you may have!
To attend this course, candidates must have prior programming knowledge and knowledge of RDMS. This course is suggested for