Best Online Courses in Data Science 2019

DURATION

24 Weeks

EFFORT

10-15 Hrs/Week

CAREERS

Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.

Real-time Internship

An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.

Placement Support

Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell, and HCL.

Training Methodology

This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers, and self-assessments.... [-]

Learn to gather, analyze, and tell stories through data with SQL, Excel, and visualization.

Whether you’re using data to make business, technology, or design decisions – the process is the same.

Properly define a problem and design tests that get valid results.

Use SQL to extract data from databases, then clean and prepare it for analysis.

Use basic statistics and Excel to manipulate data in order to find patterns and answer questions.

Communicate findings effectively using data visualization, dashboards, and presentations.... [-]

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.... [-]

The course will run students through the functions of Perl which is one of the original program languages and fully prepare them for their 1D0-437 exam. The examination has a time limit of 75 minutes, in which candidates have 50 questions to answer. In order to pass, you must achieve a minimum pass mark of 75%.

This course will help programmers of all levels get to grips with every function that the Perl programming language has to offer.

This course is suitable for anyone, from beginners looking to learn about Perl programming language to IT programmers who are looking to enhance their skill set by learning new web scripting techniques.... [-]

In this course, candidates will fully understand the concepts behind Microsoft SQL Server 2012 and how to build and query complex database solutions in a real-world environment. Students will also get 12 months access to our dedicated Live Labs where they will be able to recreate course scenarios and design new database solutions without building a costly lab of their own.

After completing the three MCSA SQL Server 2012 modules, students will then shift focus to the elements that make the MCSE SQL 2012 Data Platform with two additional modules.... [-]

This course will fully prepare students for the three respective module exams that make the MCSA Windows 7 qualification. It will help you demonstrate the knowledge and skills in working with Windows 7 and validate your ability to support end users while maintaining the system and mobile devices. Live Labs are included in this package and are seen as an essential learning resource for students as it allows them to test their knowledge and skills in practice exercises and environments without the need to invest in a costly test lab of their own. Microsoft 70-680: Configuring Windows 7

This course will bring you to the wizard level of skill in data mining, following on from Data Mining with Weka and More Data Mining with Weka, by showing how to use popular packages that extend Weka’s functionality. You’ll learn about forecasting time series and mining data streams. You’ll connect up the popular R statistical package and learn how to use its extensive visualization and preprocessing functions from Weka. You’ll script Weka in Python – all from within the friendly Weka interface. And you’ll learn how to distribute data mining jobs over several computers using Apache SPARK.

Open Data is data that anyone can access, use or share and when used well it can be extremely powerful. It enables businesses, citizens, developers, and researchers to harness resources that can make crucial improvements to their communities and the economy. It can also help with the development of new products and services, improve business efficiency and create economic value.

This course provides new insight into the history of Open Data, its pros and cons, business cases and business models related to publishing and using Open Data.

How could you benefit? Join to find out.

Within healthcare, there are thousands of complex and variable processes that generate data including treatment of patients, lab results, and internal logistic processes. Analysing this data is vital for improving these processes and ending bottlenecks.

On this course, you will explore how process mining can help turn this data into valuable insights by looking at different areas of process mining and seeing how it has been applied. You will even get the chance to apply process mining to real life healthcare data.

Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. Applying process mining in the healthcare environment is extra beneficial since processes are complex, and costs are high.... [-]

Increasingly, we’re bombarded with all sorts of data about how society is changing. From opinion poll trends and migration data to economic results and government debt levels.

On this course from the Sheffield Methods Institute at University of Sheffield, we’ll look at ways of cutting through the confusion to decide what numbers reveal, when and why they (sometimes deliberately) mislead and determine what is ‘fake news.’

This online course will introduce you to various high-performance computing (HPC) facilities for big data analysis. This includes R – a programming language renowned for its simplicity, elegance and community support – and Hadoop – an open source, Java-based programming framework for large datasets. You will find out how to use them, avoiding common pitfalls and saving you time and money.

By the end of the course, you will:

Policy is the art of achieving the desired outcome in the presence of constraints and differing priorities.

Policy is largely a coordination problem. Here data and models can help. The Ebola outbreak in West Africa did not spread worldwide because science-based policies were implemented, replacing ineffective policies such as restricting movement by closing borders.

The science of epidemics is one of the successes of Global Systems Science (GSS) – an interdisciplinary approach to modelling the complex, multi-faceted and intertwined problems of the modern world. Another example is the use of network science in financial regulation dealing with many interconnected financial actors.... [-]

This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyze it and to produce visualizations. You will also learn how to write up and share your analyses, privately or publicly. You will install free software (see Requirements below) to learn to code in Python, a widely used programming language across all disciplines, due to its support for scientific and engineering libraries and visualization tools, and a wide range of development tools. You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily. You will look at real data from the World Health Organisation, the World Bank, and other organizations. You’ll be encouraged to discuss the data and your analyses with your fellow learners, and to build a community of researchers around these and other datasets.... [-]