Key Features 30 hours of Interactive Class Mock Exams and Mock
Projects Group Activities for better reinforcement Real world examples
from various industries Industry based case studies Life time access
to classroom recordings (for Online class customers only) 24/7
customer support About the Course Data science is a "concept to unify
statistics, data analysis and their related methods" to "understand
and analyze actual phenomena" with data. It employs techniques and
theories drawn from many fields within the broad areas of mathematics,
statistics, information science, and computer science from the
subdomains of machine learning, classification, cluster analysis, data
mining, databases, and visualization. The Data Science Certification
Training enables you to gain knowledge of the entire Life Cycle of
Data Science, analyzing and visualizing different data sets, different
Machine Learning Algorithms like K-Means Clustering, Decision Trees,
Random Forest, and Naive Bayes. Who needs to attend? The course is
designed for all those who want to learn about the life cycle of Data
Science, which would include acquisition of data from various sources,
data wrangling and data visualization. Applying Machine Learning
techniques in R language, and wish to apply these techniques on
different types of Data. The following professionals can go for this
course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics
Managers who are leading a team of analysts 3. Business Analysts who
want to understand Machine Learning (ML) Techniques 4. Information
Architects who want to gain expertise in Predictive Analytics 5. 'R'
professionals who want to captivate and analyze Big Data 7. Analysts
wanting to understand Data Science methodologies What is this course
about? The incorporation of technology in our everyday lives has been
made possible by the availability of data in enormous amounts. Data is
drawn from different sectors and platforms including cell phones,
social media, e-commerce sites, various surveys, internet searches,
etc. However, the interpretation of vast amounts of unstructured
data for effective decision making may prove too complex and time
consuming for companies, hence, the emergence of Data Science. Data
science incorporates tools from multi disciplines to gather a data
set, process and derive insights from the data set, extract meaningful
data from the set, and interpret it for decision-making purposes. The
disciplinary areas that make up the data science field include mining,
statistics, machine learning, analytics, and some programming. Data
mining applies algorithms in the complex data set to reveal patterns
which are then used to extract useable and relevant data from the set.
Statistical measures like predictive analytics utilize this extracted
data to gauge events that are likely to happen in the future based on
what the data shows happened in the past. Machine learning is an
artificial intelligence tool that processes mass quantities of data
that a human would be unable to process in a lifetime. Machine
learning perfects the decision model presented under predictive
analytics by matching the likelihood of an event happening to what
actually happened at the predicted time. What learning benefits do you
get from Trainerkart training? Establish a common vocabulary and
understanding of basic Project Management terms and concepts such as
PMBOK®, project, Project management, operations, programs,
stakeholders, earned value, scheduling techniques, and project
managers’ responsibilities and competencies. Describe the purpose,
inputs, and outputs of the processes in each of the five Process
Groups: Initiating, Planning, Executing, Monitoring & Controlling, and
Closing Define the 10 Project Management Knowledge areas & the
processes in each. Define & explain the relationship of process
groups, Knowledge areas, project phases, project &product life cycle
Demonstrate a clear understanding of what activities, tools, &
techniques, are necessary in each phase of a project & understand the
PMP® examination nuances Understand, acknowledge & appreciate
importance of risk management. Learn tools and techniques for managing
the risks in projects Overview of Critical Chain Project Management
(CCPM) & discussion on concept of Buffer Management. Help the
participants to understand one, understand others, and manage the
interface more efficiently & effectively. Understanding the impact of
organizational structures on projects Discussion on project
manager’s professional responsibilities. With the help of case
studies, motivating the participants to use the principles of Project
Management in their own Work area discussed with the help of case
studies. Why Trainerkart Learning Solution? Trainerkart training is
the best and value for time & money invested. We stand out because our
customers Get trained at the best price compared to other training
providers. Get trained by the best trainer in the industry. Get access
to course specific learning videos.
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21/02/2018 Last update