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
According to a World Economic Forum report, By 2025, the world will generate 463 exabytes of data every day. As the world is becoming increasingly data-driven, future leaders must have quantitative abilities to support business management strategy and decision-making. The Data Analysis for Management online course provides applicants with the practical tools and information they need to comprehend, interpret, and convey information relative to their job and organisation.
A PwC report states that 77% of CEOs want to use data-driven choices to improve operational excellence and generate revenue. The Data Analysis for Management Training, led by LSE specialist academics, helps candidates learn how data-driven frameworks may help them make sound choices in a fast-paced environment.
The Data Analysis for Management certification course encourages applicants to complete a capstone project in which they apply the tools and ideas learned to derive business insights from real-world data sets. Candidates will also get experience visualising and reporting on insights gleaned from sets of data using Tableau, a renowned data analytics and business intelligence program.
The Highlights
- London School of Economics offering
- Shareable certificate
- Projects and assessments
- Split option of payment
- Self-paced learning
- Online learning
- 8 weeks duration
- 7-10 hours per week
- Course provider Getsmarter
- Downloadable resources
Programme Offerings
- Case Studies
- Self-paced learning
- Live polls
- online learning
- Offline resources
- video lectures
- Infographics
- QuizzesCase studies
- quizzes.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | LSE |
Fee type | Fee amount in INR |
Data Analysis for Management fees | Rs. 89,275 |
Installment Plan
| 1st installment | Required before: 2025-01-28 | Amount Due: ₹44,638.00 INR |
| 2nd installment | Required before: 2025-02-27 | Amount Due: ₹44,637.00 INR |
Eligibility Criteria
Certification Qualifying Details
To qualify for the Data Analysis for Management certification by Get Smarter, and LSE, the entrants must finish the program's online training modules as well as deliver the online assignments and projects. Students will be required to engage in the class activities such as live polls, quizzes, surveys, research studies, and others. Students are evaluated using a succession of continuously submitted projects, assignments and class activities. To qualify for accreditation, all of the requirements outlined in the coursebook must be satisfied.
What you will learn
After completing the Data Analysis for Management certification syllabus from LSE, Applicants will learn about data analysis tools and data-driven models in order to make proper strategic decisions. Learners will also be able to evaluate data and convey results and business requirements using Tableau, a premier data visualisation and analytics program. Candidates will exhibit their abilities to analyse, manipulate, summarize, visualize, and reflect on advanced analytics via a capstone project.
Who it is for
- Anybody who wants to improve their qualitative abilities and knowledge of business decision-making.
- Individuals from a range of industries, including finance, marketing, information technology and project management including sales manager, marketing manager, data analyst, financial analyst who want to be able to find insights from data on their own.
- Those interested in learning how to analyze and understand data using Tableau, the data visualization and data analysis software that has become an ideal tool throughout the world.
Admission Details
To get admission to the Data Analysis for Management online training, follow the steps mentioned below:
Step 1. Follow the given URL to open the official course page (https://www.getsmarter.com/products/lse-data-analysis-for-management-online-certificate-course)
Step 2. Click the ‘Register Now’ button to start the enrolment process
Step 3. Read the terms and conditions, and accept to continue
Step 4. Fill in personal details to make a profile on Getsmarter
Step 5. Provide sponsor details if applicable and fill billing address details
Step 6. Pay the fee amount and start the online class on Getsmarter
The Syllabus
- Recall some common dilemmas managers encounter
- Highlight how data-driven models can impact managerial decision-making
- Discuss managerial decision-making through the use of cross-sector illustrative applications
- Identify problems with uncertain outcomes that require the use of data-driven models and the quantification of uncertainty
- Identify the requirements of the project to be completed at the end of the course
- Define common principles of data reduction
- Calculate components of data reduction
- Recognise how Tableau is used in data visualisation
- Apply the essential functions of Tableau to summarise and illustrate a data set
- Identify how to quantify probabilities
- Interpret simple probability distributions
- Determine updated probabilistic beliefs in light of new information
- Contrast the likelihood of different scenarios to inform decisions by quantifying the risk of particular outcomes
- Recognise the value of considering the reliability and validity of data
- Discuss the impact of unreliable and invalid data on business decisions
- Calculate and interpret estimation error
- Estimate population characteristics while considering sample size
- Recognise the consequences of type I and type II errors
- Identify the binary nature of decisions in hypothesis testing
- Discuss statistical proof and the inferences drawn from a statistical test
- Outline the impact of effect size and sample size on statistical significance
- Calculate the statistical significance of a test
- Analyse the calculated statistical significance of a test to draw conclusions
- Recognise the fundamentals of regression analysis
- Discuss the complexity of linearity and its suitability to analysing data
- Identify some of the challenges and assumptions associated with regression analysis
- Execute a regression analysis
- Analyse the results from a regression analysis to conclude what drives the variation in variables
- Identify the purpose and application of time series forecasting
- Distinguish the time series components of trends, seasonality, cycles, and black swans
- Predict future time series
- Assess prediction performance
- Identify the dos and don'ts of presenting and reporting key insights extracted from data
- Apply presentation and reporting techniques
- Investigate the key insights of a given data set
- Produce a presentation communicating key insights extracted from data
- Develop a summary report communicating key insights extracted from data
- Identify opportunities available to improve quantitative skills
- Recognise what you have achieved during this course
Instructors
LSE Frequently Asked Questions (FAQ's)
Some of the methods of data analysis are factor, cluster, sentiment, regression, chohor, and more.
To extract insights from data, the data analysis process employs logical and analytical reasoning.
Standard deviation, hypothesis testing, sample size determination, mean and regression are the 5 basic methods of statistical analysis.
Some skills essential for data analysis are SQL, critical thinking, data visualisation, python, R, statistical programming, MS Excel, etc.
Data analysis is among the most in-demand careers in the world. Because there is such a high demand for people who can genuinely execute this work well, and the quantity of people who can do it effectively is so restricted.