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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
With an increasing reliance on descriptive statistics to influence decision-making, the process of extracting information from data has now become an extremely desirable skill. The Data Analysis online course by UCT begins with an introduction to data analysis foundations and the larger possibilities of statistics in commerce. The course covers a broad range of statistical approaches and is organised all over the broad outlines of various data studies: inferential, descriptive, predictive, exploratory and prescriptive.
Data analysts play an important role in assisting company executives in making informed decisions, distinguishing between efficient and inefficient practices, cutting expenses, and solving significant problems; they are thus an essential component of any successful organizational team. The Data Analysis Training involves learning how to acquire, store, organize, analyze, and interpret data.
The Data Analysis certification syllabus provides opportunities to test data analysis methods on real-world datasets. Finally, The course provides practical skills that can be implemented immediately in the organization to handle particular business demands in Sales, Finance, marketing, Human resource management and Operations management.
The Highlights
- Self-paced learning
- Split option of payment
- University of Cape Town offering
- Online learning
- Downloadable resources
- Projects and assessments
- 7-11 hours per week
- Course provider Getsmarter
- 8 weeks duration
- Shareable certificate
Programme Offerings
- Self-paced learning
- online learning
- Offline resources
- quizzes
- Live polls
- video lectures
- Infographics
- Case studies.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UCT Cape Town |
The fees for the course Data Analysis is -
| Head | Amount in INR |
| Programme fees | Rs. 79,525 |
Installment Plan
| 1st installment | Required before: 2025-01-21 | Amount Due: ₹39,763.00 INR |
| 2nd installment | Required before: 2025-02-20 | Amount Due: ₹39,762.00 INR |
Eligibility Criteria
Certification Qualifying Details
To qualify for the Data Analysis certification, Candidates must attend and complete all the course modules and submit the projects, assignments along with taking part in quick assessment activities of the classroom such as quizzes, live polls, surveys, case study, etc. The evaluation process is primarily based on the series of projects and assignments online submitted by the candidate. Follow all the guidelines written in the coursebook and fulfil the requirements outlined to become eligible for certification.
What you will learn
After completing the Data Analysis online training, Students will get a grasp of how statistical analysis may be used to a wide range of business demands. Learners will gain a theoretical understanding of databases as well as expertise with a variety of data analysis methodologies. Candidates will learn how to use Microsoft Excel to organize, modify, analyze, visualize, and understand data.
Who it is for
- Professionals who wish to learn more about data analytics and improve their Microsoft Excel analytical abilities.
- HR managers, marketers, project and operations managers, CEOs, finance managers, and business owners interested in learning how to leverage data sets to generate insights, make informed strategy and validate assumptions.
- Those who want to understand the impact of data on a company's choices and gain in-demand skills that they can use right away to contribute value in their present and future employment.
Admission Details
To enrol in the Data Analysis tutorial by UCT, follow the steps mentioned below:
Step 1. Go to the course website
Step 2. Click on the ‘Register Now’ button to start the registration
Step 3. Agree with the provider terms and conditions and continue
Step 4. Create a profile on Getsmarter by filling in personal details
Step 5. Provide the billing address and sponsor details
Step 6. Pay the fee amount and start learning at the scheduled date and time.
The Syllabus
- Define data analysis
- Recognise the difference between academic and business research
- Outline the steps in the research process
- Identify the principles, challenges, and opportunities of business research
- Articulate the value of data analysis for measuring the performance of different business functions
- Analyse how data analysis can be employed to drive decision-making
- Identify multiple forms of quantitative and qualitative data
- Distinguish between descriptive, inferential, predictive, and prescriptive data analysis
- Choose appropriate variables to develop a research question
- Justify the choice of research question to meet certain business needs
- Formulate suitable research questions that take the relevant variables, data type, and business needs into account
- Outline the process of collecting and preparing data for analysis
- Identify the fundamental Microsoft Excel functions, components, and tools
- Practise entering data and formatting workbooks
- Use Microsoft Excel to sort, filter, and group different types of data
- Apply basic functions and formulas
- Outline various descriptive and inferential statistical measures
- Articulate the importance of testing for validity and reliability
- Choose appropriate measures to analyse specific types of data
- Use Microsoft Excel to calculate central tendency, distribution, correlation, and dispersion
- Use Microsoft Excel to create and format pivot tables
- Identify the different roles of spreadsheets and databases
- Identify how data is stored and organised in databases
- Articulate the challenges of decentralised data as it relates to managing your organisation's master data
- Identify the uses and value of SQL
- Interpret a sample query
- Discuss the principles and process of interpreting data
- Identify measures for ensuring data quality
- Use data visualisation to support analysis and interpretation of data
- Analyse data for pipelines and standard patterns in relation to broader industry contexts
- Compare data outputs to industry standards and benchmarks
- Formulate well-substantiated inferences based on statistical outcomes
- Find the appropriate data and statistical results to report on
- Identify the key components of a business dashboard
- Choose the appropriate writing style and tone when presenting research results
- Analyse the effectiveness of data visualisations for ordinal, nominal, and continuous data
- Recommend courses of action and methods for monitoring change based on inferences made from the results
- Present research findings using a dashboard that includes visualisations that you have created
- Interpret the strengths and limitations of using Microsoft Excel for data analysis
- Investigate hardware and software tools available for gathering, sorting, analysing, and visualising data
- Discuss new developments and applications of data analysis in a variety of industries
- Research how big data analytics is impacting business strategy
- Reflect on research outcomes and recommendations to guide future data analysis
Instructors
UCT Cape Town Frequently Asked Questions (FAQ's)
Standard deviation, hypothesis testing, sample size determination, mean and regression are the methods of data analysis.
A set of maps, charts and diagrams aimed to collect, analyse, and present information are known as data analysis tools.
The data analysis course teaches us to extract useful information from big data.
The Data Analysis course by UCT hosted via Getsmarter is the best analysis course.