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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

Fee type	Fee amount in INR
Data Analysis fees	Rs. 66,736 (Incl of all taxes)

The Data Analysis fee is Rs. 66,736 (Incl of all taxes). Candidates will have two options of payment they can choose from at the time of registration.
Either they can pay the total amount of the fee at once or they can choose the split option of paying the fee, in which they can pay the total fee in 2 installments.
If the candidate opts split option to pay the fee, a 3% of processing charge will be added as an admin fee.
The fee can be paid using a debit/credit card or bank wire transfer.

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

Analytical skillsDecision making skillsKnowledge of Data Visualization

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

Data Analyst

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

Recognize the difference between academic and business research
Define data analysis
Outline the steps in the research process
Articulate the value of data analysis for measuring the performance of different business functions
Identify the principles, challenges, and opportunities of business research
Analyze how data analysis can be employed to drive decision-making

Distinguish between descriptive, inferential, predictive, and prescriptive data analysis
Identify multiple forms of quantitative and qualitative data
Choose appropriate variables to develop a research question
Formulate suitable research questions that take the relevant variables, data type, and business needs into account
Justify the choice of a research question to meet certain business needs

Identify the fundamental Microsoft Excel functions, components, and tools
Outline the process of collecting and preparing data for analysis
Practice entering data and formatting workbooks
Apply basic functions and formulas
Use Microsoft Excel to sort, filter, and group different types of data

Articulate the importance of testing for validity and reliability
Outline various descriptive and inferential statistical measures
Choose appropriate measures to analyze specific types of data
Use Microsoft Excel to create and format pivot tables
Use Microsoft Excel to calculate central tendency, distribution, correlation, and dispersion

Identify how data is stored and organized in databases
Identify the different roles of spreadsheets and databases
Articulate the challenges of decentralised data as it relates to managing your organization's master data
Interpret a sample query
Identify the uses and value of SQL

Identify measures for ensuring data quality
Discuss the principles and process of interpreting data
Use data visualization to support the analysis and interpretation of data
Compare data outputs to industry standards and benchmarks
Analyze data for pipelines and standard patterns in relation to broader industry contexts
Formulate well-substantiated inferences based on statistical outcomes

Identify the key components of a business dashboard
Find the appropriate data and statistical results to report on
Choose the appropriate writing style and tone when presenting research results
Recommend courses of action and methods for monitoring change based on inferences made from the results
Analyze the effectiveness of data visualizations for ordinal, nominal, and continuous data
Present research findings using a dashboard that includes visualizations that you have created

Investigate hardware and software tools available for gathering, sorting, analyzing, and visualizing data
Interpret the strengths and limitations of using Microsoft Excel for data analysis
Discuss new developments and applications of data analysis in a variety of industries
Reflect on research outcomes and recommendations to guide future data analysis
Research how big data analytics is impacting business strategy