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Divided into two units, this program is of 6-month duration and comprises 6 terms. During the project, the student will be working on over 25 minor projects and more than 10 Capstone projects to get hands-on experience in working on industrial projects.
The Post-Graduation Program for Management in Data Science is an online program designed by industry experts and IIT Alumni. It is a 6-month Job Guarantee Program in which students from any management background can get enrolled. The comprehensive curriculum is aligned with the competency standards in the industry and is aimed at accelerating a student’s career in the field of Data Science. The program will be a weekend-led training program on an app-based learning system where students will be mentored by IIT alumni trainers. Followed by the completion of the program the student will be able to deal with real-world datasets as Data Folkz provides hands-on industry-based projects and case studies to work on. At Data Folkz’s PG Program for Management in Data Science, the student will be learning skills with the presentation of Capstone Projects, Hackathons, and the Kaggle Competition. We provide the student with lifetime access to the classes and mock interviews for students’ preparation to face the real-world challenges related to the field of Data Science. Data Folkz offers the best training and consulting solutions that are effective and reliable. The program is a 100% Job Guarantee Program where no ISA is required, and the minimum placement package the student will be getting his/her hands on is 5 LPA. The program comes with a model of Pay after Placement so that the student need not worry about making a decision to get enrolled in the course.
The major objective of the PG Program for Management in Data Science is to equip the students with the knowledge and skills required to thrive in the field of Data Science. At Data Folkz, the online sessions will be highly interactive, and one-to-one sessions will be available for a better and more focused understanding of concepts. The course curriculum is designed by industry experts and deals with industry-relevant specializations in Data Science and Analytics. After the completion of the course, the student will be able to implement his/her learning to work on real-life projects.
Data Science deals with gaining a deep understanding and knowledge to facilitate discoveries through data exploration and interference. A Data Scientist is expected to possess both the computer skills and statistical knowledge required to solve complex problems. Data Science is one of the most coveted technologies that is being utilized by firms and nations for automation and simplification of people’s lives. As the digital revolution is on pace, this technology is laying an impact on almost all sectors, including retail, finance, education, and hospitality. As of August 2020, more than 93,000 jobs in the field of Data Science are vacant in India, and the demand for qualified data scientists is increasing. More and more businesses are starting the utilization of Data Science algorithms in order to boost their business; hence, more jobs are being created. Data Science is becoming a much easier job to break into following the completion of the course as the need for talented data scientists is increasing. The demand in the market is almost 3 times the number of Data Scientists India is producing today. India has a fair share of around 9.4% of the total global analytics job openings, which raised from 7.2% in January 2020. As predicted by analysts, the country is set to have over 11 million job openings by 2026. The hiring in the field to has surged by 46%. Data Folkz offers hands-on industry-based projects and case studies to work on, providing the student with a real-time experience of working as a data scientist.
A Data Scientist is expected to be possessing incredible management, statistical, and computer skills in order to sustain, grow and provide a competitive edge to businesses. In the PG Program for Management in Data Science, the student learn both technical and non-technical skills. Talking about the technical skills that the student will learn at Data Folkz during the program, they are: 1:Statistical Analysis 2:Deep Learning 3:Machine Learning 4:Processing Large Data Sets 5:Data Visualization 6:Mathematical Skills 7:Data Wrangling 8:Python Programming 9:Big Data Handling 10:Working with Unstructured Data Moving further to the non-technical skills that the student will be learning under this PG Program for Management in Data Science, they are: 1:Strong Business Sense 2:Advanced Communication Skills 4:Incredible Data Divination 5:Management Skills 6:Presentation Skills 7:Resume Building 8:Leadership Skills Following the completion of the course, the students will possess the knowledge of the following tools: 1:Python 2:Tableau 3:Pandas 4:SciPay 5:Scikit-Learn 6:Matplotlib 7:SQL 8:Advanced Excel 9:NumPy 10:Seaborn
In the PG Program for Management in Data Science, the student will be exposed to more than 25 minor projects that will train him/her for over 60 job roles. In addition to this, there are more than 10 Capstone projects that the student will be working on to gain experience in dealing with real messy datasets. The Capstone Projects that the students will be working on are: ->Website Behaviour Analysis ->Cardio Vascular Risk Prediction ->Customer Segmentation ->Customer Behaviour ->Credit Card Fraud Detection ->Web Scraping ->Hotel Booking Analysis ->World Bank Global Education Project ->Car Price Prediction ->Stock Index Price Prediction ->Sensex Log Data Processing ->Customer Complaint Analysis
The PG Program for Management in Data Science is designed by industry experts to equip the students with the knowledge to make correct decisions and actions. This program is best suited for you if: =>You are a student who doesn’t have any idea where your career is headed. Around 82% of the students go for a Master’s Program following the completion of their Undergraduate Program. Don’t be lost and learn the skills required to fill up positions vacant for talented and skilled Data Scientists. =>You are from a technical background, but due to the lack of job opportunities in the technical field, you are settling yourself with a management position. This category of underserved students amounts to 68%. =>You are a student who did good in your college and was in the top lot but still failed to secure a job through the college placement drive. As per a survey conducted, around 75% of the students on average fail to get placed through the college placement drive. To enrol yourself in this program, you don’t necessarily have to be from a technical background. This program by Data Folkz is aimed at providing undergraduate students with high opportunities to get a job. The highly professional and skilled faculty at Data Folkz is dedicated to equipping the students with high-value skills to facilitate a decent demand and supply rate.
The PG Program for Management in Data Science comprises two units subdivided into six terms covered in a total duration of 6 months with one month of Career Centre Classes for skill development. The number of learning hours would be 120, and students can learn in the weekend-led program from the comfort of their homes.
What is Data Science
You will be learning what exactly Data Science is and what skills you need to develop in order to become a Data Scientist. Also, you will gain knowledge of the application of Data Science in different industries.
Statistics for Data Science
This module will deal with the basic understanding of statistics and the utilization of statistics in the field of Data Science. The students will learn to work on population and sample, and parameters and statistics.
Introduction to Data
You will be explained the various Data types in this module and learn about variables and their types, sampling techniques, convenience sampling, stratified sampling, simple random sampling, stratified sampling, systematic sampling, and cluster sampling.
Under this module, you will gain knowledge of Univariate and Bi Variate Analysis, Measures of Central Tendencies, Measures of Dispersion, Skewness and Kurtosis, Outliers and Boxplot, and Covariance and Correlation.
Get introduced to the basic details and knowledge of Excel and its use cases in the field of Data Science. Learn about the features of MS Excel and functions along with skills related to editing and formatting data and working professionally with worksheets.
As the name suggests, the students will be learning essentials related to Custom Formatting and Conditional Formatting.
Functions and Formulas
This module will deal with the understanding of Logical Functions, Lookup and Reference Functions, and Statistical Functions in the field of Data Science.
Get a basic understanding of what exactly Pivot Tables are and how to analyze data using Pivot Table.
Learn how to create charts in Excel and design column charts. In addition to this, gain knowledge of chart formatting and designing interactive dashboards.
Analytical Tool of Excel
This section will deal with the What if analysis. It is helpful in understanding the goal you are seeking, becoming a scenario manager, handling data tables, and solving complex problems.
Statistical analysis in the field of Data Science deals with moving average, hypothesis testing, and Anova. Gain valuable insights and skills for finding Covariance, Correlations, and Regression.
Learn everything about the Python programming language in detail and gain knowledge of why Python is required in the field of Data Science. Gain an understanding of the installation of Anaconda, understanding Jupyter Notebook, and basic commands in Jupyter Notebook. Additionally, you will be exposed to the basic understanding of Python Syntax and variables and operators.
This module will help you understand how to deal with various data types such as strings, lists, sets, tuples, and dictionaries
Control Flow and Conditional Statements
Learn about the If, Elif, and Else statements in Python along with While Loops, For Loops, Nested Loops, and List and Dictionary Comprehensions.
Gain valuable information about User Defined functions, Lambda Functions, Map, Filter, and Reduce.
This module in Data Visualization and EDA will equip you with the knowledge of Arrays, Basic Operations in Numpy, Indexing, and Array Processing.
Gain information related to Series, DataFrames, Indexing and Slicing, Groupby, Concatenating, Merging Joining, Missing Values, Operations, Data Input and Output, Pivot, and Cross tab.
Visualization with Matplotlib and Seaborn
Introduction to Matplotlib. Learn about Line plots, histograms, box, and Violin Plots, Scatterplot, Heatmaps, and Subplots, and how to use them in Data Science.
Exploratory Data Analysis
Learn in-depth about EDA on a dataset, analysis, and visualization, treating missing values, outlier detection and treatment, and feature engineering.
Gain knowledge of Web Scraping basics and libraries, web scraping advanced, and what is machine learning. Along with this, learn about Supervised versus unsupervised learning and Regression VS Classification.
This module deals with the introduction, visualization, joins and calculation, and report making and sharing. The students will be learning how to install Tableau and get a basic understanding of the Tableau Interface. Learn how to connect Tableau to various datasets such as Excel, and CSV files, connecting to the web, and implement data blending and aggregation. Moving further with the course, the visualization topic will equip students with the knowledge of creating and designing visualizations and dashboards. Understand how to deal with Tableau graphs such as Bar Charts, Area Charts, Maps, Scatterplots, Treemaps, Piecharts, Heat Maps, waterfall, and Pareto. The Joins and Calculations session will help you understand the types of Joins and their functioning. Become skilled in carrying out Tableau calculations, including arithmetic, logical, and LOD calculations. Learn how to work with the Tableau-generated fields and special fields. Coming on to the Report Making and Sharing section, this section will help you understand how to develop the Tableau reports and add actions to dashboards such as filters and highlighting. Learn how to export results from Tableau into Powerpoint, Word, and other software.
Gain valuable information related to Simple Linear Regression, Multiple Linear Regression, OLS Assumptions, and Regression Evaluation Metrics.
Get a thorough understanding and overview of classification and gain knowledge related to the importance of Linear Regression.
Learn everything about the Logistic Regression, the Logistic Model, Logit and Sigmoid Functions, and setting the threshold and understanding decision boundary.
Evaluation Techniques for Classification
Gain information on the confusion matrix and learn how to attain maximum accuracy while minimizing the error rate. The module will deal with the learning of TPR and FPR, precision and recall, F1 Score, and AUC-ROC.
This module will equip the students with the basic terminology in Decision Tree, Root Node and Terminal Node, Regression Trees, Classification Trees, advantages and disadvantages of Trees, Gini Index, Information Gain/Entropy, and Reduction in Variance, and Overfitting and Pruning.
Learn in detail about what is Ensemble Learning, Bagging, and how it functions. Gain valuable information about what exactly Random Forest is and its functioning.
Resampling deals with Cross-Validation, k-Fold Cross-Validation, and Stratified Cross-Validation.
This module deals with Parameters and Hyperparameters and learn how to perform Hyperparameter Tuning, grid search, and randomized search.
Learn what Boosting is and how it works. Gain information related to Ada Boosting, Gradient Boosting, and XG Boosting.
Support Vector Machine
The Support Vector Machine module deals with Hyperplane, the Maximal Margin Classifier, Support Vector Classifiers, hard and soft Margin classification, classification with non-linear decision boundaries, and kernel trick.
Learn about the KNN algorithm, Linear, Polynomial, and Radial, and how to decide the number of neighbors in KNN.
Naive Bayes Algorithm
Get familiar with the Bayes Theorem and gain exposure to the terminology in Naive Bayes. Become knowledgeable of the types of Naive Bayes Classifier, Multinomial Naive Bayes, Bernoulli Naive Bayes, and Gaussian Naive Bayes.
Principal Component Analysis
Get a basic understanding of the concept of Dimensionality Reduction and why there arises a need to conduct it. Learn about the Principal Components and demonstration of 2D PCA and 3D PCA. Gain information about the Eigen Values, Eigen Vectors, and Orthogonality. This module will equip you with the knowledge of transforming the Eigen values into a new data set and will explain the proportion of variance in PCA
This particular module is designed in order to equip the students with the various Clustering methods and give exposure to K-Means Clustering, Centroids, and Medoids. Learn how to decide the optimal value of ‘k’ with the use of the Elbow Method. You will also be learning in detail about Hierarchical Clustering, Divisive and Agglomerative Clustering, and Dendrograms, along with their interpretation.
In this module, you will be introduced to the concept of Association Rules Mining, where you will learn in detail about the Association rules, market basket analysis, and Apriori/Support/Confidence/Lift.
Time Series (Forecasting)
This module will provide you with a thorough understanding of what exactly is Times Series Data. Learn in detail about the Stationarity in Time Series Data and Augmented Dickey-Fuller Test, the Box-Jenkins Approach, the AR Process, and the MA Process. Gain valuable knowledge and skills related to ARIMA, SARIMA, ACF, PACF, and IACF plots. Additionally, the module will cover topics such as the decomposition of Times Series Trend, Seasonality, and Cyclic along with Exponential Smoothing, and EWMA.
During the program, the students will be exposed to a lot of live projects with an aim to equip them with hands-on experience to deal with real-world problems. Unlike traditional ineffective methods, the students won’t be working on dummy datasets but will be sharpening their skills with real messy datasets.
Uncover user trends and gain knowledge on how to track behavior using powerful analytics. Learn how to drive user engagement by collecting, combining, and analyzing quantitative and qualitative user data.
Become knowledgeable in dividing customers into segments on the basis of common characteristics like demographics and behavior to facilitate effective marketing.
Gain skills in obtaining large amounts of data from a website, collecting the information it possesses, and exporting it to a more structured format.
This project will deal with the real-world data record of hotel bookings consisting of details such as bookings, cancellations, and information related to guests. Gain interesting insights into customers’ behaviors.
Deal with models that quantify the Cardio Vascular risk over a defined period or over a lifetime along with the age factor. This project is based on a model that is considered a cornerstone of preventive cardiology.
This project is aimed at equipping you with the knowledge of how to study customers and the processes they follow in order to select, use, and dispose of products and services. You will gain valuable insights into using quantitative and qualitative methods for determining customer behavior.
Several machine learning and deep learning models predict the price of used cars by utilizing data such as Model Name, Year of Purchase, and various other parameters
This project deals with the creation of new variables used as an input to the models on the basis of a deep learning approach to predict the movement of stock prices
Learn how to use Big Data technology to process Sensex Log Data in this project and gain valuable skills in predicting Nifty and Sensex movements.
Digging into the datasets provided by a firm along with customer complaints and other attributes. Learn how to automate your customer complaint root cause analysis to uncover fine reasons for complaints.
Learn the advanced functioning of a Chatbot that simulates human conversation via voice commands or text chats or even both.
Become knowledgeable to provide expert language solutions for any size of business. Work with a deep neural network that excels at functioning as a segment of a machine translation pipeline.
Learn how to deploy the most accurate speech recognition models in the world at scale while constantly bringing improvements with training and data.
Deal with algorithms that leverage machine learning or deep learning in order to produce meaningful results.
One of the best machine learning tasks to get started with computer vision. This project deals with the horizontal data bearers and two-dimensional QR codes.
Gain technical job skills by working on real-world cloud projects and learning how to build, deploy, and scale applications, websites, and services on a Google-like infrastructure.
6 Months Placement Drive
Gain skills to demonstrate your knowledge of the course topics professionally.
Exciting competitions organized by Data Folkz to grow your Data Science.
Put your coding skills to work and solve interesting business problems and real-world challenges.
Make a perfect job-winning resume and jump-start your career in your dream job.
Build your extensive network and track your professional milestones and achievements. Bio Define who you are and what services you have to offer along with your specialty. Summary Write impressive introductory content to showcase your skills and knowledge in this section. Headshot Cover the essentials for making a great portrait and face forward to look into the eyes of those you want to attract.
Professional and globally recognized ISO certificates on Data Folkz to help you get job-ready for an in-demand career field in less than a year.
Data Folkz offers an authorized signature that endorses your skills and knowledge of the course.
We groom your presentation skills so that you are capable of delivering compelling, engaging, informative, transformative, and engaging presentations.
Your communication skills are a deciding factor about your personality, and it definitely adds to the value of your meetings.
Get equipped with skills that involve things like business planning, decision-making, problem-solving, and coordination.
Develop crucial leadership skills such as strategic thinking, planning, people management, and reliability for ensuring success in the workplace.
Via Data Folkz PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Data Folkz provides a 100% placement guarantee that is set to start immediately following the completion of the course. The Career Centre Classes at Data Folkz will involve skill development, profile development, and personality development to make you ready for placements.
The placement drive at Data Folkz will ensure that you get complete assistance for your placements from the industry experts and veterans. We facilitate a 100% job placement program that assures a minimum package of 5 LPA.
Data Folkz has partnered with over 20 leading companies that require Data Scientists and are offering jobs to skilled and talented students with an impressive understanding of the core concepts related to Data Science.
Data Folkz conducts a total of 3 mock interviews to get you prepared for the job interviews by enhancing your skills, profile, and personality.
You will have exclusive access to our dedicated job portal following the completion of the course. We offer a 100% placement guarantee with the facility of paying for the course fee after placements.
From building a perfect resume for you and writing a Bio and Summary for LinkedIn to equipping you with the ISO-approved certificates and endorsements, Data Folkz has got you covered.
Impress the recruiters with your impeccable resume, profile, presentation, communication, management, and leadership skills. Data Folkz grooms you for becoming a professional Data Scientist and securing your career in the field.
Our course curriculum speaks for itself and shines through the reviews of our students and trainees. Have a look at what our students have to say about the PG Program for Management in Data Science.
I am impressed by the Curriculum of Data Folkz. The positive about Data Folkz is that they listen to our concerns and react accordingly. Instructors are also very good. Icience Story. He has sound technical skills in the field of Data Science. Hoping to get the same kind of environment in the near future in the Course of Study.
My journey with DataFolkz is excellent, and it's been five months now with them. I got to know a few basics of Python and got better ideas in Statistics and Math, which is much required to enrich my career as Data Scientist.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Tell us a bit about yourself and why you want to join this program
An admission panel will shortlist candidates based on their application
An admission panel will shortlist candidates based on their application
Selected candidates will be notified within 1–2 weeks
Lakhs per annum (LPA)
|YOUR SALARY RANGE (CTC)*||EMI||18% GST||Total Payable|
|Monthly Payable Amount + 18% GST||25000||4500||INR 0|
₹ 4,500 + GST
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Application Deadline 10 August 22
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
The minimum qualification criteria is an aggregate of 60% and above in 10th, 12th, and currently pursuing a degree.
No age restriction.
The classes are 100% live session
Yes, you will be awarded a globally recognized ISO certificate after the completion of your program.
The program will be for seven months with 1-month Career center classes for skill development.
We provide a 100% placement guarantee.
The placements will start immediately after the completion of your course.
Yes, we have 1 month dedicated specifically for Career Centre classes where we help you build Your soft skill, portfolio, and personality.
An Income Share Agreement (ISA) is a way you pay your course fee to Data Folkz. You need to pay the registration fee at the time of admission and the rest of the fee after you get placed.
Yes, of course. As you go through our admission process, a copy of the same will be made available to you at the end.
In a duration of 30 weeks, the course requires a commitment from 9am to 9pm for 6 days a week in an intensive and immersive curriculum.
UI Libraries, Reusable Components, Routing and Advanced APIs, Deployment, Unit Testing, and end-to-end testing, Redux and Hooks, Data Structures and Algorithms
Node.js and Express.js, Microservices, MongoDB, Data Structures and Algorithms
System design basics, How do they scale?, All about operating systems, Data Structures and Algorithms
Projects, Interview Preparation
The best data science and AI courses are offered by Data Folkz, helping you to advance your technical knowledge and network with industry experts. Contact Data Folkz for the best data science programme with job placement support.
A great learning platform. Amazing placements. I am thankful to Data Folkz for helping me understand and learn about Data Science. I got my first job at Accenture and couldn't be happier.
Become an expert in cutting-edge Data Science & Machine Learning tools and techniques with a program designed by Industry Experts from Data Folkz.
6 Months Live Online Sessions