Why Join our PG Data Science and Engineering Course?
Great Lakes PG Data Science and Engineering Course is a 5-month classroom program for fresh graduates and early career professionals looking to build their career in data science & analytics. Candidates from the course are able to transition to roles such as business analysts, data analysts, data engineer, analytics engineer etc. by learning relevant data science techniques, tools and technologies and hands-on application through industry case studies.
Ranked #1 in analytics education
Great Lakes’ program has been ranked #1 in India for 4 years in a row, and has an average rating of 4.8/5 across parameters like Course Content, Pedagogy, Faculty, and Brand Value.
PG Certificate from Great Lakes
Great Lakes is one of India’s top 10 business schools, the youngest institute in India to receive an AMBA, UK accreditation, and a leader in analytics education.
World class faculty
You gain from the decades of experience and expertise brought to the table by Great Lakes faculty in their chosen domains. Several of Great Lakes faculty have been ranked among India’s top Data Science academicians.
Intensive bootcamp format
The data science course follows an intensive bootcamp format where you learn data science and machine learning from expert faculty in classroom and deepen your expertise by working on data science lab sessions. The course duration is 20 weeks including 4 weeks of capstone project.
The course covers the tools and skills sought by leading companies in Data Science. Through the duration of the course, candidates are trained on Python, SQL, Tableau, Data Science and Machine Learning. Participants in the course build their knowledge through classroom lectures by expert faculty and doing multiple challenging projects across various topics and applications in Data Science.
Through the corporate network of Great Lakes, several leading companies participate in the hiring drives organised for PG Data Science Course candidates. Some of the companies that have recently participated in the hiring process of PG Data Science and Engineering Course include: Uber, Swiggy, Fractal Analytics, Oyo, KPMG, Mu Sigma, Mercedes Benz, Cognizant, Mahindra, Big Basket. Know more.
The 5-month PG Data Science Course uses a combination of learning methods that include classroom teaching, hands-on exercises, and sessions with industry practitioners. Classes are conducted on weekdays and are assisted by online discussions and assignments.
Classroom sessions by our top-ranked faculty would be conducted from Monday to Thursday starting 9:30 AM at the Great Learning center.
Regular in-class lab sessions help candidates apply data science concepts to real-life scenarios under the guidance of a faculty and industry expert.
4-Week project work
Candidates work on an application-oriented industry project where they are mentored and evaluated by Great Lakes faculty and industry experts.
Great Lakes Certificate & ePortfolio
Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Data Science.
Our corporate partners are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals.
- Syntax and Semantics of Python programming
- Conditional statements
- User-defined functions
- Summary statistics (mean, median, mode, variance, standard deviation)
- Probability distribution
- Normal distribution
- Poisson's distribution
- Bayes’ theorem
- Central limit theorem
- Hypothesis testing
- One Sample T-Test
- Anova and Chi-Square
- Introduction to DBMS
- ER diagram
- Schema design
- Key constraints and basics of normalization
- Subqueries involving joins and aggregations
- Independent subqueries
- Correlated subqueries
- Analytic functions
- Set operations
- Grouping and filtering
Machine Learning Techniques
- Multiple linear regression
- Fitted regression lines
- AIC, BIC, Model Fitting, Training and Test Data
- Introduction to Logistic regression, interpretation, odds ratio
- Misclassification, Probability, AUC, R-Square
- KNN (classifier, distance metrics, KNN regression)
- Decision Trees (hyper parameter, depth, number of leaves)
- Naive Bayes
- Clustering - K-Means & Hierarchical
- Distance methods - Euclidean, Manhattan, Cosine, Mahalanobis
- Features of a Cluster - Labels, Centroids, Inertia
- Eigen vectors and Eigen values
- Principal component analysis
- Bagging & Boosting
- Random Forest
- AdaBoost & Gradient boosting
- Trend and seasonality
- Smoothing (moving average)
- SES, Holt & Holt-Winter Model
- AR, Lag Series, ACF, PACF
- ADF, Random walk and Auto Arima
- Text cleaning, regular expressions, Stemming, Lemmatization
- Word cloud, Principal Component Analysis, Bigrams & Trigrams
- Web scrapping, Text summarization, Lex Rank algorithm
- Latent Dirichlet Allocation (LDA) Technique
- Word2vec Architecture (Skip Grams vs CBOW)
- Text classification, Document vectors, Text classification using Doc2vec
- Building interactive dashboards using Tableau
- Data Visualization using Tableau
Learn from the Best
Learn from leading academicians and experienced industry practitioners in the field of data science.
Participants from the course have secured roles such as Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Consultants, etc. Here are some of the companies that have recently participated in the PG Data Science Course hiring drives:
The program offers Placement Readiness Evaluation at the end of the course, to help students prepare for interviews, on clearance of which students sit for the placements.
The PG Data Science Course has been designed to help candidates jumpstart their careers in Data Science and Machine Learning. Here is what some of our PG Data Science Course candidates have to share:
Eli Lilly and Company
- done Applicants should have 60% or above in Xth, XIIth and Bachelor's degree.
- done The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
- done The PG Data Science Course is ideal for candidates with a graduation in a quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics, etc.
Fill application form
Admissions committee will review and shortlist.
Screening call with Alumni/ Program Director/ Faculty
Shortlisted candidates are required to appear for an online aptitude test.
Candidates can pay the program fee through
Our tie-ups with several lending partners like Axis Bank and Eduvanz ensure that money is not a constraint in the path of learning.
Upcoming Application Deadline
We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.Apply Now
Please reach out to the admission office if you have any queries.
Frequently Asked Questions
The PG Data Science course is open for candidates in their final semester and recent graduates with 0-3 years of experience. Applicants should also have 60% or above in Xth, XIIth, and Bachelor's. Apply Now for Data Science Course Demo.
An industry-aligned and up-to-date course in Data Science
Gone are the days where a high five education was only accessible to a certain group of people. With the inception of the internet, anyone is able to access the data gathered from all corners of the world and gain knowledge. Data is a powerful tool of modern-day technology. The study related to this data has now become a buzzword which is Data Science.
What is Data Science?
In simple words, Data science can be defined as the scientific study of data to extract the needed information. Data Science also constitutes numerous methods of documentation, warehousing, and interpreting data to extract useful information productively. The ultimate aim of data science is to retrieve the sensible insights from the give data. There exists a huge amount of data on the internet on a daily basis, a lot of data is generated on the internet in the form of videos, content, photos and many more. Accessing this data, through data science can result in deriving the most appropriate insights. All the algorithms in this technology teach about the application of various procedures and systems to extract meaningful insights and knowledge from the unstructured and structured data sets.
The Demand for Data Science
A career in data science now has become one of the most desirable jobs. In Post Millennium no corner of our lives left untouched by the application of technology, data science has been creating an insane impact. The demand for data science and data analytics is on the rise and it is expected to grow in the future. Data science has demonstrated its potential by invading many organizations regardless of the dynamics surrounding an organization. It has already become an integral part of many organizations. But, there is also a lack of data science employees in and around the country. With Organizations adapting data science, the requirement is growing exponentially while there is an obvious lack of talent. It has become a conundrum for many organizations across India.
Many youngsters that have perceived the importance of this technology and the revolution it has been creating in every industry it has been embraced by are now seeking a career in this field. As many job roles are being replaced by robots, it is important to look for a career that is promising. Companies such as Google, Cognizant, Oracle and many are in dire need of data science professionals. The field of data science in India has around 97,000 vacancies which are really huge in number. This displays the ultimate demand that data science has all over the country. One of the studies by IBM has stated that the demand for data science would increase by 28% by 2020. So, make data science as your career choice as it assures a bright future.
The Impact of Data Science
Big data and Data Science are two elements are reigning the modern era and it will rule relentlessly. Many companies are applying the techniques of data science to analyze and design their marketing plans and advertise their business in a better way. One better example that we could quote is the analysis of customer feedback using data science techniques and formulate the business meeting their requirements. Considering the huge amounts of data available, you can determine the best way to make a wise move to improve your market. A simple conclusion we could draw is that data science is a necessity to every growing industry.
Job Roles of Data science
If you are someone who is desiring to take up a data science course, you must need to know about the various job roles that it offers. Once you are done with the data science training, you will be offered these job roles.
- Data Scientist
- Data Administrator
- Data Analyst
- Business Analyst
- Analytics Manager
- Data Architect
- Business Intelligence Manager
- Data Manager
Major responsibilities of a Data science professional
Understanding the responsibilities of the job role is one of the major concerns one has before deciding to take up the data science course.
The following are the major responsibilities of a data scientist.
- Plan and develop new data set methods for modeling, data mining, and production goals.
- Discover distinct approaches to enhance data and search quality and predictive inclinations.
- Produce and understand data studies and product analysis.
- Design prototypes, algorithms, predictive models, and custom study.
Payscale of Data Scientists in India
What is the salary scale of the data science professionals in the country? The average pay scale of a data science professional in India is estimated as 606,987 rupees. A fresher who finished the data scientist course could expect a minimum of 3 to 5 lakh packages in the country.
An experienced data science professional makes around 10lakhs a year. Many multinational companies offer way beyond the estimated packages for data science professionals working in different job roles.
What are the Different Applications of Data Science?
Any organization, be it a small or medium enterprise or a multinational company, everything revolves around data. The most important decisions are always taken studying the previous data. Every organization formulates strategies to improve their marketing by studying the data. Data science helps them to derive the most accurate outcomes that help formulate the best strategies. Being a data science professional, you will be the core decision maker of your organization.
Search Engine Optimization
The search engine even applies the techniques of data science to give the best results to the search query given by the user. Uses image recognition and suggestions for the related suggestions.
Data science in E-commerce is mainly used for improving user experience. It is widely used in the field of e-commerce to study the user's behavior by analyzing his previous purchases and recommend products according to the user's relevance. It also helps in forecasting the market and formulating the right strategy.
Since everything around us is turning out to be automatic, data science has wide applications in the area of electronics. Alexa works on the data science engine to understand the user and work accordingly.
Prerequisites of Learning Data Science
Concerning the rising demand and the exciting impact of this amazing field, it is the right time to the best data science course. If you are keen on learning data science, let us know what are the prerequisites to take up the data science certification program?
Even as the modules of data science demands math skills, being good at mathematical concepts such as linear algebra, matrices, calculus, gradients etc is one of the prerequisites for taking up a data science course online.
Possessing a minimum knowledge of programming would aid you to gain complete knowledge and understanding throughout the data science training. The list of these programming languages includes Python, C, C++, SQL, Java and many more. Knowing these programming languages would assist you in modeling the unstructured datasets which are the primary role of any data science professional. The more understanding you have on these languages, the more it makes the data science course easy.
Being good with statistical analysis would be a great asset to master data science. The main aim of data science is to extract useful insights from a huge collection of data. Experience working with analytical tools such as Hadoop, R, SAS and many more will serve you in efficiently performing the statistical analytics of the given data.
Data visualization skills
Being a data scientist, it is important to converse with people in the organization to implement the strategies he/she makes by studying the data. Possessing knowledge of the data visualization tools such as Matplottlib, tableau and many more would help you comprehend the complex outcomes and let the audience understand the metrics. These tools let people easily grasp the insights you are trying to deliver. Choose the best data science institute to design your career the best way you can.