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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. 45,039 (Incl of all taxes)

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

Statistical skillsData science knowledgeTableau knowledgeKnowledge of Data Visualization

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

Legal AdvisorData AnalystSales ManagerMarketing ManagerFinancial AnalystProject Manager

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

Highlight how data-driven models can impact managerial decision-making
Recall some common dilemmas managers encounter
Discuss managerial decision-making through the use of cross-sector illustrative applications
Identify the requirements of the project to be completed at the end of the course
Identify problems with uncertain outcomes that require the use of data-driven models and the quantification of uncertainty

Calculate components of data reduction
Define common principles of data reduction
Apply the essential functions of Tableau to summarise and illustrate a data set
Recognise how Tableau is used in data visualisation

Interpret simple probability distributions
Identify how to quantify probabilities
Contrast the likelihood of different scenarios to inform decisions by quantifying the risk of particular outcomes
Determine updated probabilistic beliefs in light of new information

Discuss the impact of unreliable and invalid data on business decisions
Recognise the value of considering the reliability and validity of data
Estimate population characteristics while considering the sample size
Calculate and interpret estimation error

Identify the binary nature of decisions in hypothesis testing
Recognise the consequences of type I and type II errors
Discuss statistical proof and the inferences drawn from a statistical test
Calculate the statistical significance of a test
Outline the impact of effect size and sample size on statistical significance
Analyse the calculated statistical significance of a test to draw conclusions

Discuss the complexity of linearity and its suitability to analysing data
Recognise the fundamentals of regression analysis
Identify some of the challenges and assumptions associated with regression analysis
Analyse the results from regression analysis to conclude what drives the variation in variables
Execute a regression analysis

Distinguish the time series components of trends, seasonality, cycles, and black swans
Identify the purpose and application of time series forecasting
Assess prediction performance
Predict future time series

Apply presentation and reporting techniques
Identify the dos and don'ts of presenting and reporting key insights extracted from data
Investigate the key insights of a given data set
Develop a summary report communicating key insights extracted from data
Produce a presentation communicating key insights extracted from data
Recognise what you have achieved during this course
Identify opportunities available to improve quantitative skills

Instructors

LSE Frequently Asked Questions (FAQ's)

1: What are the methods of data analysis?

Some of the methods of data analysis are factor, cluster, sentiment, regression, chohor, and more.

2: What is used to conduct data analysis?

To extract insights from data, the data analysis process employs logical and analytical reasoning.

3: What are the 5 basic methods of statistical analysis?

Standard deviation, hypothesis testing, sample size determination, mean and regression are the 5 basic methods of statistical analysis.

4: What skills are needed for data analysis?

Some skills essential for data analysis are SQL, critical thinking, data visualisation, python, R, statistical programming, MS Excel, etc.

5: Is Data Analytics a good career after pursuing the Data Analysis for Management online course?

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.