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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

The Professional Certificate Programme in Advanced Data Analytics for Managers online course is suitable for those individuals with a keen sense of learning and building a strong career in analytics. This course specifically aims at delivering managerial insights to the participants. Topics such as Machine learning, Data visualisation, Data analytics will be covered using R. The application and usage of data analytics in business is a new phenomenon leading to the creation of new business strategies. These new business strategies will be analyzed and comprehended by the participants.

The usage of data analytics in business also has some problems. This programme seeks to ensure detailed causes and explanations of these problems with real-life case studies and practical sessions. The classes for this programme are scheduled every Saturday from 3 pm to 6 pm. The instructors and the students will meet online via the zoom platform.

The Professional Certificate Programme in Advanced Data Analytics for Managers is verified by the Indian Institute of Management Kozhikode. The participants will be benefited from the Certificate of completion on successful completion and a participation certificate on unsuccessful completion. This certification will help working professionals gain new heights in their careers.

The Highlights

Certification by IIM Kozhikode
Alumni status of IIM Kozhikode on completion
Duration of 10 months
Completion & participation certification
Online live sessions
Weekly 3 hours of effort
Sessions only on Saturdays
Installment wise fee collection
Live classes on zoom

Programme Offerings

Case Studies
Live online lectures
assignments
Capstone Project
Quiz
10 Months Programme

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIM Kozhikode

The participants can check these detailed Professional Certificate Programme in Advanced Data Analytics for Managers fees structure-

The total fee for this programme is Rs. 1,65,000 with GST.
The participants for the application fee will have to pay Rs. 2000 with GST in round 2, Rs. 2500 with GST in round 3.
The booking amount for this course post selection will be Rs. 16,000 with GST.
Then the first instalment will be Rs. 33,000 with GST.
The second instalment will be Rs. 66,000 with GST.
The third instalment will be Rs. 50,000 with GST.

Fee category	Amount in rupees
Total tuition fee	1,65,000+ GST
Booking amount	20,00+ GST
1st instalment	55,000+GST
2nd instalment	40,000+GST
3rd instalment	50,000+GST
2nd round application fee	2000 + GST
3rd round application fee	2500 + GST

Eligibility Criteria

Work experience

A minimum of one-year work experience after graduation is required for the Professional Certificate Programme in Advanced Data Analytics for Managers training.

Education

The candidates who have successfully graduated or have a diploma in any field from a recognized university is required.

Certification qualifying details

The candidates will have to maintain 75% of attendance during the course. The candidates will also have to pass in the periodic evaluations such as assignments, quizzes, projects and case studies. After completing all these criteria, the candidates will receive the prestigious Professional Certificate Programme in Advanced Data Analytics for Managers by IIM Kozhikode, and Eruditis.

What you will learn

Data science knowledge

The Professional Certificate Programme in Advanced Data Analytics for Managers syllabus includes all the relevant and implementable tools for successful managerial endeavours. These are the specific learning outcomes from this course-

An in-depth understanding of data analysis and its structures will form.
The introduction and application of data analytics tools such as R, ggplot2 is included in the programme.
The working mechanisms of data science for business purposes will be explained.
How text mining is used for unstructured data formats will be practically taught to the participants.
Social media analytics usage is also a part of the Professional Certificate Programme in Advanced Data Analytics for Managers training.
This programme is mainly focused on shaping the participant's managerial outlook.
The participants will understand various nuances in the analytical skills and learn to differentiate the predictive, descriptive and prescriptive analytics.
How to use data visualization and understand the relationships between datasets will be taught.
The participants will understand how the success of data analytics in business is related to revenue- generation.
How the insights of revenue-generating data analysis in business are used for predicting future business strategies will also be taught in Professional Certificate Programme in Advanced Data Analytics for Managers syllabus

Who it is for

Business AnalystBusiness Development ExecutiveBusiness ManagerBusiness Development ManagerBusiness StrategistBusiness Intelligence Manager

The following candidates will be profited by Professional Certificate Programme in Advanced Data Analytics for Managers benefits-

The working professionals who are in search of better opportunities in data science and business analytics can apply in the course.
The professionals who are already in managerial positions and are hoping to improve their skills for further career growth can apply.
The participants who are working as business analysts and hope to become efficient in data analytical roles can apply.
Consultants, Senior managers, and leaders of business organisations who are keen on leveraging their business strategies can apply.
Recent graduates or diploma holders with a minimum of one year of experience from any discipline can apply if they have interests in data science.

Admission Details

The participants can check these given guided steps for Professional Certificate Programme in Advanced Data Analytics for Managers classes-

Step1- Click this URL for this course- https://www.eruditus.com/india/programmes/professional-certificate-programme-in-advanced-data-analytics-for-managers/?redirect=pardot

Step2- Then the course website will appear.

Step3- In the Professional Certificate Programme in Advanced Data Analytics for Managers by Eruditus, there will be a “Download Brochure” option. Fill in your name, country, mobile number, email id and then download to access the course contents.

Step4- After going through the course content, for admission click on the “Apply Now” option.

Step5- For proceeding further, fill up the required email id, password and click on the submit button.

Step6- Then the fee will be collected in instalments for which online payment will be the form.

Step7- After completing all these steps, the participants can start attending zoom classes on Saturdays.

The Syllabus

Introduction R environment
IDE-R studio
Installing packages and loading packages in R
Creating variables
Scalars, vectors & matrices
List, data frames & data types
Converting between vector types
Cbind & Rbind
Attach and detach functions
Reading .csv and .txt files
Importing data from excel
Loading and storing data with a clipboard
Saving in R data, loading R data objects
Writing data into the file
Writing text and output from analyses to file
Rmarkdown

Data subsets
Selecting rows/observations
Rounding a number
Creating a string from variable
Factor labels
Selecting columns/fields
Merging data
Relabelling the column names
Data sorting, data aggregation, and finding and removing duplicate records
Application of dplyr package (select, arrange, mutate, aggregate, summarise, and group)

Basics of data visualisation using ggplot2
Aesthetic mappings
Common problems
Facets
Geometric objects
Position adjustments
Coordinate systems
The layered grammar of graphics
Combining plots
Execution of various types of plots (box plot, histogram, pie chart, line chart, scatterplot, word cloud, probability plots, mosaic plots, correlograms, and interactive graphs)

Data cleaning
Handling missing data
Data imputation
Feature filtering
Categorical feature filtering
Identifying misclassifications
Data transformation
Min-max normalisation
Z-score
Standardisation
Decimal scaling
Transformations to achieve normality
Outliers
Graphical methods for identifying outliers
Numerical methods for identifying outliers
Flag variables
Transforming categorical variables into numerical variables
Binning numerical variables reclassifying categorical variables
Adding an index field
Removing variables that are not useful
Data balancing techniques

Hypothesis testing versus exploratory data analysis
Getting to know the data set
Exploring categorical variables
Exploring numeric variables
Exploring multivariate relationships
Selecting interesting subsets of the data for further investigation
Using EDA to uncover anomalous fields
Binning based on predictive value
Deriving new variables: flag variables
Deriving new variables: numerical variables
Using EDA to investigate correlated predictor variables
Need for dimension-reduction in data mining
Principal components analysis (PCA)
Application of PCA

Statistical inference
Confidence interval estimation of the mean
The margin of error
Confidence interval estimation of the proportion
Hypothesis testing for the mean
Assessing the strength of evidence against the null hypothesis
Using confidence intervals to perform hypothesis tests
One-sample t-test
Paired sample t-test
Chi-square test for goodness of fit of multinomial data
Analysis of variance (ANOVA)

Supervised versus unsupervised methods
Statistical methodology and data mining methodology
Cross-validation
Overfitting
Bias-variance trade-off
Balancing the training data set
Establishing baseline performance
Simple regression analysis
Model formulation
Verifying the regression assumptions
Inference in regression
Multiple regression analysis
Dummy variable
Stepwise regression analyses

Naïve Bayes and Bayesian networks
Application of logistic regression for estimation and prediction
Neural networks for estimation and prediction
Random forest
Decision tree
K-nearest neighbour algorithm

Market basket analysis
Affinity analysis
Measuring cluster goodness
k-means clustering
Hierarchical clustering methods

Social network analysis
Lexicon analysis
Social media analytics (Twitter)
Text mining and sentiment analysis

Instructors

IIM Kozhikode Frequently Asked Questions (FAQ's)

1: Who will receive the participation certificate mentioned in the Professional Certificate Programme in Advanced Data Analytics for Managers certification course?

The criteria for receiving the participation certificate for this course are enrolment and 75% attendance in the live sessions. The participation certificate is given to those candidates who couldn’t pass the course but have the required attendance.

2: Do I pay to pay the installments as per a scheduled date?

The participants will have to pay the tuition fee in three installments. There is a given scheduled date for each of the installments which can be checked on the Eruditus course page.

3: Who are the programme directors for this Professional Certificate Programme in Advanced Data Analytics for Managers online course?

The program directors are esteemed experts in business data analytics and have years of experience in it. They are Prof. Anandakuttan B Unnithan and Prof. Sreejesh S.

4: What are the capstone projects and case studies mentioned in the program?

The capstone project and case studies are a part of the Professional Certificate Programme in Advanced Data Analytics for Managers syllabus. The capstone project is where the candidates will do a practical application of the theoretical knowledge learned in this program. The case studies are real business insights on the implications of data science.

5: How are the application fees applicable?

The application fees are subjected to seat availability. If the seats get filled in the 1st round itself then there will be no other rounds and Professional Certificate Programme in Advanced Data Analytics for Managers fees for application.

6: How can I contact Eruditus for some more details?

The participants can contact Eruditus in this email id- iimk@eruditus.com.

7: Is there any financial help provided by the Eruditus platform?

Eruditus platform offers student loans to certain students who fulfill the criteria mentioned on the student loan website. Eruditus partnership with student loan providers has led to such assistance.

8: Whom do I contact for more information regarding the loan application form?

The participants can contact this email id- info@eruditus.in by mentioning the name of the programme for more details related to the loan application form.

9: What are the system requirements to attend the live Professional Certificate Programme in Advanced Data Analytics for Managers online course?

The classes will be held online on zoom. For that matter, the participants will need to have a PC, Mac, or laptop. It needs to have 4 GB ram or higher, good internet connection, Webcam or USB, Speakers and Microphone, OS- Windows 8 or higher or MacOS 10.7, Browser- firefox, chrome, edge or IE.