Why Join our PG Data Science and Engineering Course?
Ranked #1 in analytics education
What truly makes this course stand out is the fact that it has been ranked first for four successive years. In addition to this, the course also holds an average rating of 4.8/5 based on several parameters including the course outline, faculty, pedagogy, etc.
PG Certificate from Great Lakes
Great Lakes is also popular for being the youngest institute in the nation to have been accredited by AMBA.
World class faculty
At Great Lakes, we have some of the finest faculty, with years of knowledge and experience in their respective domains, for training young minds. Many of our faculty members are also recognized among the country’s best Data Science academicians.
Intensive bootcamp format
The curriculum follows an intensive boot camp format. We not only teach students data science and machine learning but work towards deepening their skills by introducing them to data science lab sessions. The entire course is 20 weeks long, which includes a 4-week capstone project.
The course imparts skills and tools that leading companies in Data Science look for. Students gain training in SQL, Python, Data Science, Tableau and Machine Learning during the length of this course. Classroom lectures help build their knowledge and getting to work on challenging projects related to Data Science and its applications makes the students industry-ready.
Many leading companies are a part of Great Lakes’ corporate network and participate in the placement drives organized for PGP-Data Science Engineering students. Mahindra, Cognizant Technology Solutions, Flipkart, Big Basket, TVS, HSBC are a few among these top organizations that visit Great Lakes for hiring.
Our PGP-Data Science Course in Hyderabad is a mix of different learning methods like classroom teaching, first-hand experiences, and sessions with industry professionals. The classes here are conducted on weekdays, and assignments and online discussions are also part of the teaching process.
Classes at Great Lakes run from Monday to Thursday from 9:30 am onwards.
We regularly hold lab sessions to aid students in improving the application of data science concepts to real-life setups. Such sessions are usually guided by a faculty member and an industry expert.
4-Week project work
Application-oriented industry project also forms a part of the curriculum. These projects too are directed and overseen by faculty members 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. 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
Frequently Asked Questions
The PG Data Science course is accessible by the candidates pursuing their final semester and fresh bachelors with 0-3 years of experience. Applicants must have 60% or above in Xth, XIIth, and Bachelors. Apply Now for Data Science Course Demo.
Pursue an Industry-Aligned Data Science Course in Hyderabad
The modern day technology has been experiencing an unbelievable upgrade. One of the latest technologies that have attained a rapid demand in Data Science. Data science has become a necessity for most industries in recent times. Many are in haunting for a reliable data science institutes to master this exciting technology and have an amazing future.
What is Data Science?
Data science is all about the application of data to create the greatest impacts possible for serving a definite purpose. The primary purpose of the application of data science in any industry is to serve real world problems using the previous data both structured and unstructured. The application of data to improve the services and products is one of the major applications of data science in many fields.
On a daily basis, a huge amount of data is being produced. Hence it is impossible to handle such an enormous amount of data using traditional technologies. The more amount of data we use, the more accurate results we derive. Hence, data science has made a mark in the digital world by deriving the best outcomes by accessing huge datasets.
Many believe that data scientists are nothing but researchers. Even as many data scientists study and analyze huge datasets for solving a problem, data science is more about producing an advanced model that can cause huge impact in the area of your work. A data scientist is not just a data cruncher but he is also a problem solver, he is a strategist who discovers the best plan that fits your business problem. Most of the ambiguous problems in several sectors have been solved by the application of the techniques of data science.
What are the various steps involved in the process of data science?
Understand the business problem
Planning is the most important step that we take to execute any task. So, acquiring a complete understanding of the business problems helps the data scientist to plan the process of data science to derive meaningful insights. Before a data scientist could actually start the process of data science it is necessary for him to completely understand the business problem which enables him to find possible ways to solve it.
Data mining is one of the major attributes of data science. Data mining is a process of extracting data through different databases. Applying various computer science techniques to databases to extract the desired information makes the process of data mining possible. Data collection, data segregation, data storing etc are few of the pre engineering steps involved in the process of data science.
Once the data has been gathered, cleaned and sorted, several data science tools will be applied to the refined data to retrieve the desired outputs. These results are nothing but the solutions for the given business problem.
After designing a suitable data module that fits the given problem, the process of testing will be carried out to evaluate the efficiency of the selected model.
The specified model will be deployed to the client by applying several data visualization tools. These tools help to promote a better and easy understanding of the models of the data models.
What is the pay scale of data scientists in India?
The job role of a Data scientist has been recognized as one of the highest paid job roles in the country which is why many are desiring a career in this specific sector. The average salary of a data scientist in India is observed as 6 lakhs per annum while the experienced ones make more than a million rupees. These packages are definitely huge compared to any other job roles in the IT sector.
What are the different job roles offered in the field of data science?
The field of data science offers several job roles in different sectors.
- Data reporting executive
- Data scientist
- Machine Learning Engineer
- Data analyst
- Business Analyst
- Data engineer
- Data architect
Scope for Data Science in Hyderabad
Hyderabad is one of the major cities of India that has huge IT population. One of the recent studies states that the IT sector of Hyderabad is growing so rapidly that it has reached double the national growth at 17 percent in the year 2018- 2019. Hyderabad is also recognized as one of the most attractive IT destinations of our country for the outstanding infrastructure it offers to the IT sector. Hyderabad is one of the ideal places to start up a career in the field of data science. In fact, many data science institutes are emerging that offers data science training in the city of Hyderabad. If you are seeking to take up a data science course in Hyderabad, ensure that you choose the best data scientist to gain the utmost knowledge and start your career in the enthusiastic field of data science. Hyderabad currently has around 1200+ job vacancies for different positions in the field of data science. This number is expected to increase even as many sectors have been adapting data science.
Let us see what are the different applications of data science Search Engine Optimization
Search engines such as Google, Yahoo, Bing etc employs several data science techniques to deliver the best results to the users based on their search queries.
Internet Advertising/ Digital Ads
From the display banners to the bill boards most of the internet adds were created based on the results derived by the application of data science.
Even as you shop on the e commerce websites, data science helps these sites to recommend you the related products by studying and analyzing the data of the specific customer. This application also results in enhancing the user experience and promote customer satisfaction.
Image and speech recognition
When you post a picture on social media sites such as facebook, you will get a request of an automation tag as the web recognizes the image of the person. Image recognition is one of the major applications of data science which is employed in social media sites, security purposes, etc. Speech recognition is also an application of data science which has been applied by products like Google Voice, Alexa, Siri, etc. This promotes extreme flexibility and ease in accessing your phone, smart TV, smart window treatments etc making our lives easy
Data science is widely applied in the field of gaming to enhance the gaming experience. The application of the tools and techniques of data science has taken the gaming experience into the next level by training the systems to act based on your past moves. These actions of the systems make the game even more exciting.
Besides the above mentioned applications, the field of data science offers outstanding benefits contributing so much to the sector it has been applied. Hence, many companies are considering data science to be a part to make their systems intelligent and derive the most accurate outcomes. data science has got huge benefits from time consumption to cost reduction. Data science is also expected to replace many existing job roles. hence considering a career in data science and taking up a data science course in Hyderabad stands as the best decision you make to endure a successful career. Make sure that you end up choosing the best institute of data science in Hyderabad to encounter a career breakthrough.