Data Visualization Training (15 Courses, 4+ Projects)

About Data Visualization Certification Course

What is Data Visualization?

Data Visualization is defined as the visual representation of data in several ways in order to make the viewer comfortable and simpler to understand the data content and its categories. Data Visualization process helps in communicating the information very clearly and effectively. The different types of data representation in the form of graphics are such as Bar chart, Line chart, histogram, pie chart, area chart, control chart, run chart, Box chart etc. The information will be represented in the graphical forms or graphs, charts, maps etc. Data Visualization is very helpful in the field of Data Science. The different characteristics of Data Visualization are showing and displaying data in different forms, avoiding unnecessary things in the data, comparing different types of data, comparing and displaying lo of data in a short manner.

Data Visualization has different applications such as displaying data on websites such as news, weather forecasting, public information, transport information, mind maps, articles etc. The different Data Visualization tools are such as Plotly, RAW, D3.js, Tableau, Chart Blocks, Data Wrapper, Info Wrapper etc.

What tangible skills will I learn from this Data Visualization course?

• The set of skills those which are obtained after completing this Data Visualization course are Data Analytics, QlikView, QlikView Security, Artificial Intelligence, Machine Learning, Machine Learning using Python, Statistics, Machine Learning ML, Python, Artificial Intelligence AI, Tensor flow, Business Intelligence BI, Regression, Hypothesis Testing etc.
• Data Visualization course also contains few other modules in its course and the chapters under each course which were covered in the course curriculum that are useful in acquiring knowledge on the Data Visualization concepts and techniques and its Data presentation features with several types of Dashboards, visual representations for Data analysis and visualizations.
• There are also other skills which can be acquired upon completion of this Data Visualization certification are such as Algebra, Adaboost Regressor, Gaussian, Heuristic, Numpy Pandas, Metplotlit, Seaborn, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree etc.
• The Data Visualization course also contain a set of tangible skills which are Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis, Tableau, Business Intelligence, Filters in Tableau, Charts in Tableau, Customer Analytics, RMarket Research and Analytics, Sensitivity and Specificity, Prescriptive Analytics, Pricing Analytics, Descriptive Analytics and its advanced Data Visualization techniques for several types of data representations.
• This Data Visualization course is very useful for the prospective Data Analyst, Business Analyst, Data Visualization Scientist, Machine Learning Scientist, Data Scientist, Software Development Engineer, Software Developer, Research Scientist, Data Analyst, Business Analyst, Hadoop Developer, Researcher, SAS Programmer, R Programmer, Machine Learning Engineer, Machine Learning Developer, AI Expert, Chatbots Developer, AI ML Engineer etc.

Data Visualization Course Testimonials

---

Effective Tool for dashboard creation

This course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the course in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart and table creation.
Linked

Patrick

 

QlickView Scripting

Overall, an engaging and challenging course. The content as well as the quality of the course was up to the mark. The instructor managed to explain the difficult concepts well which greatly facilitated learning.
Linked

Juan Carlos Pardo Polo

 

Business Intelligence with Tableau

This was my first course with Tableau and it was very useful for my skills development. I took this course since a friend of mine told me that Tableau has become an industry standard for best practices in data visualization. The part of the training that was most useful was the forecasting with Tableau and this was new to me. A great course overall.
Linked

Gus Raposo

 

Artificial Intelligence & Machine Learning Training

I was googling tutorials looking for Artificial Intelligence & Machine Learning Training. this is the best possible course, because the tutor is very knowledgeable. The course is not too fast – just perfect pace to absorb the new concepts. Very well explained and taught. I’d definitely recommend it!
Linked

Greg Kowalczyk

 

Basics of Artificial Intelligence

Course: Basics of Artificial Intelligence

Language: English
Instructor intelligibility: Good

Instructor’s Content Knowledge: Good, but reverted to reading from the slides a lot with no outside explanations or simplifications.

Material content: Good basic overview of the definitions for “Intelligence” as a whole as well as a quick overview of the field of AI and origins.

Comments: Clean and fast, with a good set of definitions and explanations.
Linked

Richard McCloskey