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.
Very well conducted. Proactive management from the moderator, many exercises, hence quite practical, minimizing theoretical overload. Very pleased with the learning, for new starters as well as more experienced participants. Great experience sharing.Attended workshop in February 2018
The experience over the two-day course was fantastic. It was not a dry explanation of the Scrum framework. Instead, a practical, example driven 2 days where we worked through all elements of the Scrum framework. I would have no hesitation in recommending Marco Mulder as a Scrum Master trainer or as a business Scrum coach within a commercial environment. His experience in this field was clear and impressive.Attended workshop in April 2018
Knowledge Hut experience has been very good, this is my second registration with them directly and had total 3 registrations with them. The Trainer, Venue, Course material, Food and other logistics are well organized and managed. Special thanks to Lalit who takes extra effort to help and coordinate on everything. I am happy to take up other courses offered with Knowledge Hut and recommend others also to consider.Attended workshop in April 2018
Marco is a brilliant Scrum coach. I had the pleasure to attend Certified Scrum Master training with Marco as a trainer. I was particularly impressed by Marco's hands on experience that sets him as a captivating knowledgeable trainer. Marco has a very unique approach as a trainer in which he actively engages all participants regardless of their background. And I still keep the really inspiring book on SCRUM he gave to me along with the planning poker cards we used to do task estimation! As a Scrum coach, Marco earns my highest recommendation.Attended workshop in October 2017
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