Why Join our PG Data Science and Engineering Course?
The Great Lakes PGP-Data Science Engineering course In Delhi NCR has been designed for graduates and professionals who intend to transition to a career in data science and analytics.
The Data Science course introduces candidates to data science tools, technologies, and techniques, and enables them to bolster their knowledge with the help of industry case studies and hands-on learning and application.
The course is a 5-month classroom program that helps transition into roles like data analyst, business analyst, analytics engineer, and data engineer.
Ranked #1 in analytics education
Ranking at the top continuously for 4 years, the Great Lakes’ program has a 4.8/5 average rating in parameters such as Faculty, Pedagogy, Brand Value, and Course Content.
PG Certificate from Great Lakes
Currently in the list of top 10 business schools within the country, Great Lakes holds the distinction of being the youngest Indian institute to get UK and AMBA accreditation, and currently leads in analytics education.
World class faculty
The Great Lakes faculty has expertise and decades of experience in their respective domains which can really help the candidates gain a lot. Many of the Great Lakes faculty rank in the list of the top Data Science academicians in India.
Intensive bootcamp format
The course includes an intensive boot camp format in which the candidates get to study machine learning and data science from the faculty in the classroom, to enhance their proficiency. They also get lab sessions in data science. The entire program is of 20 weeks and is inclusive of a 4-week capstone project.
The program teaches you the skills and tools that big data science companies look for. During the entirety of the program, candidates get training for Machine Learning, Data Science, Tableau, Python, and SQL. They get to increase their know-how with the help of expert faculty in the classroom lectures. They also develop their knowledge by working on various challenging projects on different applications and topics of Data Science.
With the help of Great Lakes corporate network, numerous big companies take part in the placement drives arranged for PGP-Data Science candidates in Delhi NCR. Companies such as HSBC, Kantar, Marlabs, Jana Finance, Mahindra, Cognizant Technology Solutions, Big Basket, TVS, Flipkart, Vestas, etc. have taken part in these hiring drives.
The PGP-Data Science course in Delhi NCR, in its 5-month duration, lets students inculcate learning techniques such as hands-on exercises, classroom teaching, and sessions with the industry experts. The classes take place on weekdays along with online discussions as well as assignments.
At the Great Learning center, classroom lectures conducted by expert faculty take place from Monday to Thursday and commences at 9:30 AM.
Held under the guidance of industry experts and faculty, the in-class lab sessions enable candidates to learn how to apply concepts of data science to scenarios that take place in real life.
4-Week project work
The Data Science candidates have to do an industry project that is application-oriented in which they are guided and assessed by the industry experts as well as the Great Lakes faculty.
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 Gurgaon if you have any queries.
Frequently Asked Questions
TThe PG Data Science course is free for candidates pursuing their final semester and fresh graduates with 0-3 years of experience. Applicants must have 60% or above in Xth, XIIth, and Bachelors. Apply Now for Data Science Course Demo.
An industry-aligned and up-to-date course in Data Science
The field of data science is noticed to encounter a rapid demand in recent times. Many working professionals are desiring a career shift into this field and many fresh graduates are anticipating an amazing career in data science. If you are one among the many that are dreaming to become a data scientist, you need to know what is data science? Why data science is so important? What are the several factors that are leading to an increase in the demand for the field of data science?
What is Data Science?
Data science is a multidisciplinary technology involving several processes, patterns, algorithms, techniques on a given data ( both structured and unstructured) to derive the necessary insights.
Data science these days has become more popular than ever before. In this modern digital world, everything around us is revolving around data. Data science has already become an integral part of many industries for its outstanding contributions. The list of the sectors and the number of companies embracing this technology is rapidly increasing every day. So, data science has achieved an enormous demand and scope. This is why many people are thriving to start up a career in this field by taking up a data science course.
The increasing demand for data science in Gurgaon
Gurgaon is one of the nicest city that embraces the IT sector. Gurgaon is well known for its rapid urbanization and prospering IT culture. Many top companies have Gurgaon as their headquarters. Data science in Gurgaon has immense demand as many sectors have been adapting data science for its amazing advantages. Many in Gurgaon are seeking a career in the field of data science. At present, there are around 1000+ job openings for several positions in the field of data science.
Another strong factor that needs to be considered to take up the data science course in Gurgaon is, this beautiful city is also close to the national capital Delhi and Noida which is also an IT hub. Delhi, being one of the largest metropolises, has got a lot of opportunities to begin a career. Many youngsters prefer a move to the city of Delhi pursuing a shift in their career. If you are one among the many that are seeking a career shift in the field of data science in Delhi, taking up a data science course in Delhi offers you a wide range of opportunities. The number of institutes offering data science training in Delhi are rapidly increasing. Many working professionals are attending the data science classes in Delhi to have a career shift.
The Data Science Certification in Delhi has got great scope that promises you uncompromising career opportunities. Choosing a data science course in Delhi NCR will surely stand out as the best choice you could make to design an amazing career.
Payscale of data scientists
Considering the demand for data science in Delhi and cities around, the field of Data science is noted to offer the highest pay in the country and the job role of data scientists now stands as one of the most desirable job roles. The average income of a data scientist in the country is estimated as 6 lakhs per year and the experienced data scientists are spotted to earn more than a million per annum. This number is definitely one of the highest pay as compared to any other job roles in any sector.
Let us learn about the various steps involved in data science Understand the business problem
The first and foremost step involved in the process of data science is understanding the business problem and determine the objectives of the specific business. Once a data scientist understands the problem, he makes a plan considering the objectives that need to be achieved.
Since data science is all about data, a data scientist is required to collect some sort of relevant data from all possible ways using different tools and techniques. Because of the immense data available on the web, data scientists gather data by using several quantitative data collection methods applying the mathematical concepts in several formats such as questionaries, applying methods of correlation and regression, mean, mode, median and many more. Data scientists also collect data by using qualitative research methods such as case studies, observations, role playing, etc.
Even as you gather a huge amount of data, you do not use each and every bit of it for solving the specific business problem. Hence data storing needs to be performed. This process refers to cleaning the data by screening -useful data to perform operations and derive meaningful insights.
After segregating the data, a data scientist converts the data from one format to another to perform specific operations and derive the expected outcomes. This process includes various approaches like data integration, data warehousing, data wrangling and many more.
Many operations such as bootstrapping, cross validation, subset selection etc will be employed on the segregated data to retrieve the desired solutions. This process consumes a lot of time to perform several operations and derive the needful findings from the huge data sets.
Once the model is finalized, it is to be tested in the pre-production environment to analyze its efficiency and detect any existing errors.
Once the phase of testing ends, it is deployed to the client to solve the defined problem and achieve the goals determined. Application of different data visualization tools such as Tableau, Highcharts, Datawrapper, Sisense, Fusioncharts etc makes it easy to understand the model.
What are the several applications of data science in various fields?
Even as data science has got a wide range of applications, different sectors employ the techniques of data science to serve different purposes. The following are the few of the major applications of data science which we encounter the benefits on a daily basis.
Data science helps the users to get a product at the best price by using the price comparison websites. Data science helps to attain the data from all websites where the particular product is displayed and empowers the user to crack the best deal.
One of the major application areas of data science is the Airline industry as it helps them discover the best strategic plans to improve their services. Data science in airlines helps in predicting the accurate time of arrival, delay of flight, determine the destination and halt locations etc which makes the customers enjoy a better travel experience.
One of the important applications of data science is fraud detection. Almost every sector has encountered fraudulent activities in some or the other way. It is a necessity for every sector and every organization to prevent fraudulent activities and protect their business from encountering huge losses. Data science helped many industries to discover the safest platforms, routes, modes of transports etc and enhance safety to their businesses. Thus, Data science also helps them reduce the cost and risks involved by completely eradicating fraudulent activities. This technique is majorly employed in fields like banking, finance, e-commerce etc where financial means is involved.
Even as data science is being accurate in predicting the future based on the past analysis, it helps to predict the upcoming risks and helps any industry to take necessary steps to invade them.
Data science serves huge benefits to the healthcare industry. These applications include analyzing the reports and images, detecting the diseases, understanding the patient's reaction to various drugs, prescribing the perfect drug and many more. Data science has become an integral part of the field of healthcare as it has been promoting an enhancement in offering outstanding medical services.
There are many other industries such as finance, retail, education, marketing, business, agriculture and many more.
The existing demand for data science course in Delhi is expected to grow in the near future. So, this definitely stands as the right time to begin a career in the field of data science by taking up a data science coaching in Delhi. Even as data science is also observed to replace several existing job roles, taking up a data science course in Delhi will let you design a long lasting future. Data science is definitely a career to rely on. So, do not delay and find out the best data science institute in Delhi that offers the best training and gear you up for an exciting career launch.