Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Individuals with a hybrid combination of analytical abilities and domain-specific experience are required to accelerate data-driven business choices as the amount of data available affects the way businesses function. The Data Analysis and Visualization online course by Rice University equips participants with the information and skills they need to analyze, display, and convey data insights successfully within their company.
According to the Entrepreneur report, Businesses that use big data analytics can save 10% on their overall costs. The Data Analysis and Visualization Training teaches how to use technology resources like SQL, Tableau, and VBA with the help of industry professionals. The program also teaches how to use sophisticated Excel tools, databases, and realistic statistics to grasp the basics of statistical analysis.
A Businesswire study says that by 2022, business analytics and big data are expected to generate $274.3 billion in global revenue. Data Analysis and Visualization certification course teaches how to communicate successfully with clients through data narration, using data-driven conclusions and excellent visualization approaches.
The Highlights
- Online learning
- Projects and assessments
- 8 weeks duration
- Course provider Getsmarter
- Self-paced learning
- Split option of payment
- 7-10 hours per week
- Rice University offering
- Shareable certificate
- Downloadable resources
Programme Offerings
- Infographics
- Live polls
- Case Studies
- Offline resources
- video lectures
- Self-paced learning
- online learning
- quizzes.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Susanne M Glasscock School of Continuing Studies, Houston |
The fees for the course Data Analysis and Visualization is -
| Head | Amount in INR |
| Programme fees | Rs. 195,987 |
Installments plan
| 1st installment | Required before: 2025-02-11 | Amount Due: ₹97,994.00 INR |
| 2nd installment | Required before: 2025-03-13 | Amount Due: ₹97,993.00 INR |
Eligibility Criteria
Certification Qualifying Details
To qualify for the Data Analysis and Visualization certification by Get Smarter, the candidates must complete the online program modules as well as present projects and assignments. Students will have to participate in the live polls, quizzes surveys, case studies, and other formative tasks in the classroom. To qualify for certification, students must complete a series of online projects and assignments and meet all of the requirements outlined in the course manual.
What you will learn
After completing the Data Analysis and Visualization certification course, Candidates will develop the capacity to properly display data using the foundations of data analysis and the ability to use narrative to explain the outcomes of your data analysis to corporate stakeholders. Learners will gain working knowledge of advanced and in-demand technologies like SQL, Tableau, and VBA along with the abilities required to find solutions for automating data analysis tasks.
Who it is for
- Data analysts who deal with analytical and data models to make informed business decisions and perform specific functions in an organisation.
- Those in management positions, i.e, managers who want to use data to influence operational and strategic choices, and who want to learn how to do so with the help of the right tools.
- Data administrators who are interested in moving into an analytical capacity and becoming acquainted with data visualization and analysis.
Admission Details
To get admission to the Data Analysis and Visualization classes, follow the steps mentioned below:
Step 1. Visit the official course page on Getsmarter by following the given link
(https://www.getsmarter.com/products/rice-data-analysis-and-visualization-online-short-course)
Step 2. To start the registration process, click the ‘Register Now’ button
Step 3. Read and agree with the provider terms to continue
Step 4. Create a profile on the Getsmarter portal by providing personal details
Step 5. Fill in the optional fee sponsor information and provide the billing address details
Step 6. Pay the fee amount and start learning online
The Syllabus
- Recall the basic functionality of Excel, and recognize formula syntax and where to find function documentation
- Discuss common data cleaning objectives
- Recognize the limitations of visualization types
- Discuss best practices for visualization selection
- Calculate optimal solutions using the solver tool in Excel
- Create a range of possibilities using data tables in Excel
- Define elements of a testable hypothesis
- Discuss the limitations of a hypothesis
- Identify different sources for data retrieval
- Discuss a proposed experiment
- Articulate conclusions drawn from an experiment
- Critique the limitations of an analysis
- Identify the need for databases in analytics
- Execute basic database operations
- Identify the need for normalization and data retrieval using joins
- Design SQL tables
- Discuss processes in a data retrieval strategy
- Design a query to retrieve data from an SQL database and import to a CSV file
- Use common descriptive statistics to describe numerical data
- Calculate measures of centrality and variability to summarize a data set and describe its spread
- Calculate the probability of an event, given information about a sample
- Analyze the results of a statistical test and identify the level of confidence in the results
- Identify common statistical misconceptions and pitfalls of interpretation
- Discuss issues around statistical analysis
- Calculate linear and logistic regression models given a numerical data set
- Identify the appropriate regression model to use based on the distribution of data
- Calculate confidence intervals of future values
- Interpret forecasts based on a predictive model
- Discuss the strengths and weaknesses of different models
- Identify common limitations and pitfalls of forecasts
- Describe important considerations when communicating analyses to a nontechnical audience
- Identify common mistakes when plotting data
- Review common ethical issues in data analysis
- Discuss the considerations of an ethically ambiguous situation
- Discuss modern regulations around data and analysis
- Evaluate the guidelines for communication, ethics, and regulations within your organization
- Practice using Tableau to create effective visualizations
- Discuss the effectiveness of visualizations
- Identify appropriate chart selection based on underlying data
- Discuss details that make charts more effective
- Analyze best practices of an effective data story
- Create a data story
- Identify reasons and methods to automate data analysis tasks
- Discuss when to implement automated processes
- Recognize how to create a macro in Excel
- Use VBA to create a custom macro in Excel
Instructors
Susanne M Glasscock School of Continuing Studies, Houston Frequently Asked Questions (FAQ's)
Quantitative and qualitative methods are the prime methods of data analysis.
The primary goal of data analysis is to discover meaning in statistics so that the resulting knowledge may be utilized to make educated decisions.
Predictive, descriptive, prescriptive, and diagnostic analysis are the four types of data analysis.
The graphical depiction of data and information using visual components such as charts, maps, and graphs are known as data visualization.
The data visualization course teaches the fundamentals of exploratory data analysis as well as data visualization.