DATA VISUALIZATION
Specialization | 20 Course Series | 9 Mock Tests
This Data Visualization Certification Course includes comprehensive20 courses with 103+ hours of video tutorials and One year access. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the courses. Learn how to visualize and analyze data and Data Visualization tools such as Tableau, Exiews, SAS, SQL.
Offer ends in:
What you'll get
- 103+ Hours
- 20 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to both the 20 courses and projects. You do not need to purchase each course separately.
- Hours: 103+ Video Hours
- Core Coverage: Artificial Intelligence and Machine Learning, Business Intelligence with Tableau, Analytics with R and Tableau, Graphs & Charts, SAS/GRAPH
- Course Validity: One year access
- Eligibility: Anyone who is serious about Data Visualization and wants to make a career in this field.
- Pre-Requisites: Knowledge of R, SAS Programming Language would be useful
- What do you get? Certificate of Completion for each of the 20courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Data Visualization Essentials Training
Courses No. of Hours Certificates Details QlikView - The BI ETL Tool 5h 54m ✔ Data Security in QlikView Documents 1h 1m ✔ CloverETL Data Integration 2h 7m ✔ CloverETL Data Integration - Advanced Case Studies 1h 14m ✔ EViews - Introductory Econometrics Modeling 6h 39m ✔ EViews - Advanced 17h 12m ✔ -
MODULE 2: Ai & Analytics
Courses No. of Hours Certificates Details Artificial Intelligence and Machine Learning Training Course 12h 8m ✔ Machine Learning using Python 3h 26m ✔ Machine Learning & AI with Python | Mathematics & Statistics 8h 23m ✔ Business Intelligence with Tableau 5h 43m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔ Project on R - Card Purchase Prediction 2h 28m ✔ Analytics using Tableau 9h 28m ✔ -
MODULE 3: Database & Statistical Tools
Courses No. of Hours Certificates Details Business & Data Analytics - Beginners 2h 18m ✔ ETL and Informatica - Overview 2h 11m ✔ Oracle SQL 17h 32m ✔ Graphs & Charts in Microsoft Excel 2010 2h 18m ✔ SAS Graph 2h 1m ✔ Statistical Tools in Microsoft Excel 1h 05m ✔
Description
Data Visualization is defined as the visual representation of data in several ways 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 shortly displaying lo of data.
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.
Sample Certificate
Requirements
- Willingness to pursue a career as Data Analyst or Data Scientist or Software Developer: The Data Visualization course does not have any prerequisites and can be chosen by anyone to learn who has basic knowledge on Data Science concepts or Statistics concepts, basic knowledge on Python programming, Data Analytics, etc. Anyone who all is interested and has the interest to learn Data Statistics and Visualization techniques is also eligible and will be able to finish the course easily. The basics of any Python programming language or functional programming language to perform operations on large amounts of data are also recommended to learn the contents of this course. This data visualization certification can be easily learned with the basic knowledge of Statistics or any basic programming constructs and any previous hands-on experience on related data techniques or libraries or frameworks will be an added advantage.
- Knowledge in Machine Learning Language or Tableau Tool or QlikView: Any basic knowledge or previous experience in the areas of Python programming or Statistical features or Data Modeling languages and its core concepts will be of greater advantage in learning the contents of this Data Visualization course. This also adds many advantages to knowing Python or Machine Learning or Statistics concepts and its data operating features. It will be of greater benefit in learning the concepts of this Data Visualization certification including a lot of Data representation techniques that will be paving a way in learning the other features of Statistical programming.
Target Audience
- Students of Engineering in Computers or Bachelor’s degree: Any student of Bachelor in engineering or any other bachelor’s degree holder can choose this course. Any learner who is having good knowledge of Python or Data Analysis or Statistics or Data analytic tools can choose this course. This Data Visualization course is an added advantage to the professional growth of any Software Developer or any learner or student with a lot of benefits to the learners on the Data Visualization tool such as Tableau, QlikView concepts of Data Analysis in this course. This data visualization certification is recommended to all learners who are interested in learning the Data analysis techniques. This data visualization certification course is also designed to advance the learners’ career to the next level to secure job opportunities.
- Tableau Analyst or Data Scientist: The learners of this Data Visualization course will be able to learn several concepts of QlikView, Tableau, Machine Learning, Python, Business Intelligence, Clover ETL, ETL tool operations, SAS and Graph techniques from the contents of this data visualization certification which will further develop the learners’ career growth as a Python Developer, Python ML Engineer, Solution Architect, Tableau Consultant, Tableau Analyst, Tableau Developer, Data Scientist, Data Analyst, Business Analyst, Market Research Analyst, Research Associate, Statistician, Quality Engineer, Quality Manager, Consultant, Team Leader, Quality Analyst, Statistical Analyst, Software Test Engineer, QA Engineer, Test Analyst, Test Lead, Analytics Consultant, Analytics Manager, Solution Architect, Programmer Analyst, Technical Architect, Qlikview Developer, BI Developer, Reporting Analyst, ODI Developer, Peoplesoft Administrator, MSBI Developer, Econometric Consultant course can be chosen as a good career opportunities in the area of data analytics currently.
- Bachelors or Masters in Engineering or any other science streams: Any Bachelor or Master Degree holder in Engineering or Science or any other technical field can choose this Edu CBA – Data Visualization course to become a Data Analyst or Tableau Developer or ODI Developer in any Data Analytics based development or related Developer roles in the larger companies.
Course Ratings
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Great course for someone like me who's been using Excel everyday but didn't know about data analysis tool available in it. I've always have to open JMP for analysis even just for simple charting and correlation plotting. Now I know I can do that in Excel too. Thanks! 🙂
Michelle Esber
This course was great to attend and learn about Excel's "Data Analytics" add-in function!
Sumari Hattingh Van Niekerk
This course provided me with in-depth knowledge of the topic at hand. As a Corporate Communications Officer of Digital Communications, to have access to this knowledge in video format is very convenient for me, and I am able to use what I learnt from this video in my day-to-day work. Also, I enjoy the novelty of having access to these videos at anytime should I require brushing up on my information. I give this course 10/10 and I will definitely purchase again.
Vishal Ramlal
Good course on learning Stats Tools using Excel - well explained in a simple manner and it covered the basics I needed to analyse data. Very useful formulas to understand the relationship and correlation between data points in forecasting future trends. I will definitely add value to me analyzing data.
Arno Wakfer CA