Master various aspects of web data analysis, multi-channel analytics, quantitative & qualitative search, reports, and more along with the tools and techniques for web analytics you’ll need to become a data wizard.
Master and comprehend Qlikview to conduct and deliver data analysis on business data. This QlikView course provides you with a solid grounding in QlikView and helps in understanding, creating and analyzing reports.
The course introduces you to the big data & machine learning capabilities of Google Cloud Platform. Learn to use CloudSQL & Cloud Dataproc for migration of workload, master interactive data analysis using BigQuery & Datalab, train & use neural networks using TensorFlow and understand data processing architectures, TaskQueues & DataFlow. The course includes lab exercises on Google Cloud Platform and prepares you for Google certified professional- Data engineer certification.
Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects. Access 26 lectures & 3 hours of content 24/7 Work on six independent projects to help you master machine learning in Python Cover concepts such as classification, regression, clustering, & more Apply various machine learning algorithms Master Python's packages & libraries to facilitate computation Implement your own machine learning models
Businesses today have access to more data than ever before, and a key challenge is ensuring that data can be easily accessed and used efficiently. MongoDB makes it possible to store and process large sets of data in a ways that drive up business value. Learning MongoDB will give you the flexibility of unstructured storage, combined with robust querying and post processing functionality, making you an asset to enterprise Big Data needs. Access 64 lectures & 40 hours of content 24/7 Master data management, queries, post processing, & essential enterprise redundancy requirements Explore advanced data analysis using both MapReduce & the MongoDB aggregation framework Delve into SSL security & programmatic access using various languages Learn about MongoDB's built-in redundancy & scale features, replica sets, & sharding
MATLAB (Matrix Laboratory) is a multi-paradigm numerical computing environment and programming language that is frequently used by engineering and science students. In this course, you will be introduced to MATLAB at a beginner level, and will gradually move into more advanced topics. The key benefit of MATLAB is how it makes programming accessible to everyone, allowing you to resolve complex problems with less complex code. Access 51 lectures & 4.5 hours of content 24/7 Use MATLAB confidently to solve problems Run scripts, write code, & do data analysis & visualization Solve equations, do math operations, & manipulate matrices Formulate your own logic & convert complex problems into MATLAB code & solve them using programming skills
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creating of user interfaces, and interfacing with programs written in other languages. That's all well and good, but it means nothing if you don't have a firm grasp of the data types used within MATLAB. In this course you'll cover not just data types, but also dive into their functions and how to perform conversions to make analysis and programming a greater experience. Access 29 lectures & 3 hours of content 24/7 Learn the essential, unique MATLAB data types necessary for MATLAB programming & data analysis Use different data types & structures such as cells, tables, time tables, structures, & map containers Convert between different data types
Tech professional often find they're faced with limitations when using Excel to analyze data. In this course, you'll learn how to optimize MATLAB to overcome these limitations. You'll focus on how to supplement the capabilities of Excel by having access to thousands of customized mathematical and advanced analysis functions, flexible visualization tools, and the ability to automate your analysis workflows - all available in MATLAB. Access 25 lectures & 2 hours of content 24/7 Access & import data from Excel files Customize the visualization of data Learn statistical models that fit w/ data Generate reports for sharing w/ others
This course will follow the basic procedures of conducting data science work, namely selecting and describing data, and munging it into a communicable form. At the end of this course, students will be able to pick a small dataset available online and, using Python language, quickly calculate descriptive statistics and show their results with basic charts and tables.
One the most powerful aspects of Microsoft Excel is its ability to analyse and present data quickly and easily using Pivot Tables. Excel can feel daunting – in particular the infamous PivotTable™ function, which is widely spoken about and little understood. In the simplest terms, it allows you to automatically sort data from one table and present it in another, the pivot table. But pivot tables can be far more sophisticated than that, and thanks to their flexibility and analytical clout are widely considered Excel’s most powerful tool. Learn to harness the power of Excel’s PivotTable™ with this course. We will take you step-by-step from the basics through to dominating your data. On this course you will learn: The primary uses of pivot tables How to identify the best and worst data sets To filter, sort and group PivotTable™ data to maximise its usefulness How to present your data clearly using PivotCharts and Conditional Formatting Your data analysis will never be the same after unlocking the full power of PivotTable™. If you are not 100% happy with your EwB pivot table course, you have 30 days to exchange or refund
