Why Join our PG Data Science and Engineering Course?
The Great Lakes PGP-Data Science Engineering classroom program is a 5-month program for freshers and professionals who are in the initial stages of their career and want to pursue a career in data science & analytics. After finishing the course, candidates are able to apply for roles such as data analysts, business analysts, analytics engineers, data engineers, etc. as they get to learn the required techniques, technologies, and tools of data science. The candidates also get to experience hands-on application with the help of industry case studies.
Ranked #1 in analytics education
The Great Lakes’ program has been ranked the top in the country for 4 years consecutively. The program also has a 4.8/5 average rating based on parameters such as Brand Value, Faculty, Course Content, and Pedagogy.
PG Certificate from Great Lakes
Great Lakes is counted in the top 10 business schools of the country. It is India’s youngest institute to receive UK accreditation and AMBA and is currently at the top in analytics education.
World class faculty
At Great Lakes, you get to learn from faculty who have years of experience as well as expertise in their respective domains. Many of the Great Lakes’ faculties are ranked high in the list of Data Science academicians within the country.
Intensive bootcamp format
The Data Science Course has a comprehensive Bootcamp format in which you study machine learning and data science with the help of the faculty in the classroom, and get to expand your expertise by attending data science lab sessions. The time period of the program is 20 weeks, which also includes a capstone project of 4 weeks.
The program teaches the skills and tools that are sought by prominent companies in Data Science. During the program, candidates get training on SQL, Python, Data Science, Machine Learning, and Tableau. The program participants also gain knowledge from the expert faculty in the classroom lectures, and by taking up numerous challenging projects that cover different applications and topics in Data Science.
Many companies take part in the hiring drives for the PGP-Data Science Course candidates through the Great Lakes corporate network. The companies that have taken part in these hiring drives recently are Vestas, Flipkart, Mahindra, Big Basket, TVS, Kantar, HSBC, Marlabs, Jana Finance, Cognizant Technology Solutions, etc.
The PGP-Data Science Course is a five-month program that combines the classroom teaching method of learning with sessions from industry specialists, and hands-on exercises. The classes take place on weekdays along with the online assignments and discussions.
Our expert faculty takes up the classroom sessions at the Great Learning centre from Monday to Thursday and the classes begin at 9:30 AM.
The in-class lab sessions take place on a regular basis and help the candidates in applying the data science concepts to real situations with the advice of an industry expert and faculty.
4-Week project work
With the advice and assessment by industry experts and Great Lakes faculty, candidates undertake an industry project that is oriented towards application.
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. Here is what some of our PG Data Science Course candidates have to shared.
Balaji V R
Jana Small Finance
Jana Small Finance
- 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 in Mumbai if you have any queries.
Frequently Asked Questions
The PG Data Science course is applicable for those candidates pursuing their final semester and recent graduates with 0-3 years of experience. All the applicants must 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
Now a days, the word data science has been heard in every corner. Data science has rapidly achieved demand and has changed the metrics of automation forever. Data science has now become one of the most desired technologies in any sector or industry.
What is Data Science?
Data science is a process of performing several operations on structured or unstructured data and derives meaningful insights. This process involves the application of various scientific methods, patterns, systems to operate on a given data to derive the desired outputs. In other words, data science is nothing but the study of data to extract knowledge.
These days, data science is used as an effective tool by many organizations irrespective of the sector they belong to, for solving many industrial problems and cause major benefits such as cost reduction, finding the best decision, discovering new markets and many more.
Who is a data scientist?
A data scientist is someone who takes the data either small or big and starts developing and applying several machine learning and deep learning algorithms such as neural networks to derive meaningful insights. The data scientists also use advanced predictive analytics and derive meaningful insights. Data scientists often employ these techniques to solve different business problems. All the major techniques of data science demand mathematical techniques and a lot of programming skills.
The following is the step by step activities performed by any data scientists on a daily basis
- Data gathering
- Data preparation
- Data analysis
- Data modeling
- Data visualization
- Data deployment
- Data maintenance
The Rising impact of Data science
Data science has gained unbelievable demand in no time. The number of people desiring a career in this specific field is increasing rapidly. From agriculture to airlines, data science has remarkable applications in every sector. The list of industries embracing data science is increasing rapidly in number even as days pass by.Considering the demand for data science applications, industries are paying a huge packages to the various job roles of data science. As a matter of fact, the field of data science offers one of the highest paid job roles in the country. The average package of a data scientist is estimated as 6 lakhs per annum.
Let us know about a few of the many applications of data science
Data science is popularly known for it's excellent problem solving capabilities. Problem solving is one of the major concerns in any field. Data science is observed to provide the most accurate decisions for solving several types of problems in various sectors.
Accurately predicting the future is one of the finest jobs that data science performs. Hence data science is widely applied in many fields like e commerce, IT, finance, transportation and many more to predict the risks and enable them to take the necessary steps to eradicate the risks.
Enhance Gaming experience
Data science is widely used in the field of gaming. Data science helps to understand the user by analyzing his moves and act accordingly which makes the game more exciting. This feature is bringing immense popularity to these games.
Advanced image recognition
Image recognition is one of the applications of Data science which is widely used in fields like social media.
Data science is also applied to optimize the search results on search engines like yahoo, google, bing etc to offer the best results to the user. This enhances the efficiency as well as the user experience. This also includes suggesting the related products to the customers based on the previous orders. This is encouraging many e commerce websites to apply the techniques of data science and provide better customer experience.
Data science is widely applied in sectors like finance, banking, Income tax etc to detect fraudulent activities. Data science studies customer behavior and successfully detects if any fraudulent activity is involved. Thus data science offers security too.
Error detection and control
Error detection is one of the major applications of data science and many industries use data science for serving this particular purpose. Data science identifies and controls the errors occurred on the initial stages avoiding risks and promote efficiency.
Data science is applied for constant monitoring in fields like manufacturing. Data science is responsible for the maintenance and security of the business.
From logistics to airlines, data science has been applied in many sectors to define the best route to avoid hazards. This results in cost cutting, providing better customer experience, time saving, and many more benefits.
Data science serves greater purposes to the field of marketing by enhancing advertising expertise. Data science helps to understand customer behavior and offer them customized shopping experience. This results in promoting cost effective advertisements.
What are the various job roles offered in Data science
- Data scientist
- Data reporting executive
- Business Analyst
- Data engineer
- Data architect
- Data analyst
The demand for Data science in Mumbai
Mumbai is the city that never sleeps. Mumbai is one of the prominent cities that has its heart for the IT sector and it is one of the major IT hubs of India. As a matter of fact, Mumbai gave birth to the first IT company of the country. So, data science has attained a wide scope in Mumbai. Currently, there are 1100+ openings available for various positions in the field of data science. Even as many youngsters are seeking a data science course in Mumbai to start up a new career in this emerging field, the number of data science institutes in Mumbai are also increasing rapidly.
What are the prerequisites to take up a Data science course in Mumbai?
If you are someone among many that is desiring a career in Data science and planning to take up a Data science training in Mumbai, it is mandatory to learn about the prerequisites of learning Data Science.
Data science strongly employs the techniques of mathematics such as linear algebra, matrices, logical regression, mean, mode and many more.
Statistics is a major module of data science as many core operations of this field are performed based on statistical concepts such as Descriptive statistics, distributions, hypothesis testing, regression and many more. Hence being strong at statistics is essential to learn data science. In fact, one of the job roles of data science is a statistician.
Being good at programming languages like Python, R, Java, SQL, MATLAB etc is surely considered as the major prerequisites of learning data science. Python is popularly applied in data science. Python is also considered as the most simple and easiest programming languages to learn.
Data visualization tools
Data visualization tools are one of the major prerequisites of learning data science. Being a data scientist, you will need to have excellent presentation skills to effectively deliver the output. Possessing knowledge on different data visualization tools like Tableau, Qlik View, SAS Visual Analytics etc empower you to effectively display the retrieved outcomes.
If you are contemplating on taking up a data science course in Mumbai, you must know that there is no better time than the present to start learning data science and build your career in a long lasting platforms. Ensure that you choose the best data science institute in Mumbai to master this prestigious course.