Job Assurance
Our program comes with a job assurance that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.
The online Advanced program in Data Science offered by learningsaint lets you gain proficiency in data science. You will work on real-world projects in data science with R, hadoop dev, admin, test and analysis, apache spark, scala, deep learning, SQL, mongoDB, and more. Upon successfully completing the program, you will be awarded PLA credits by Belhaven University that can be applied to Belhaven University degree programs.
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Learn the real-world application of data science and build analytical models that enhance business outcomes. This job-assurance program is ideal for recent graduates and professionals who want to develop a successful data science and analytics career. You will gain practical knowledge about the implications of data science and analytics in real-world businesses and prepare to work as a data science professional in an emerging field of data science and analytics.
Our program comes with a job assurance that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.
Our career services include resume development, profile enhancement, career mentorship, job assurance workshops and one-on-one career counselling to ensure you land the right job.
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.
Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.
Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.
This Advanced program offers 10 courses and 30 industry-based projects with 1 capstone project. As a part of the training, you will receive five additional self-paced courses co-created with IBM. Additionally, you will also get exclusive access to IBM Watson Cloud Lab for Chatbots course.
Understand the issues and create models based on the data gathered, and also manage a team of data scientists.
Build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.
With the help of several machine learning tools and technologies, build statistical models with huge chunks of business data.
Design and build machine learning models to derive intelligence for the numerous services and products offered by the organization.
Create and manage pluggable service-based frameworks that are customized in order to import, cleanse, transform, and validate data.
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Python
Data Science
Data Analysis
AI
GIT
MLOps
Data Wrangling
SQL
Story Telling
Machine Learning
Prediction algorithms
NLP
PySpark
Model
Data visualization
Analysing Banking Dataset: This case study involves utilizing Data Analysis and Visualization techniques on a banking dataset to assess the Credit Risk associated with individual borrowers. By conducting this study, the aim is to assist the bank in evaluating and managing the risk linked to its loan borrowers.
Enhancing a Job Portal Dataset: This case study focuses on Data Cleansing and Processing for a large-scale Job Portal Dataset. The objective is to prepare the data for further analysis and machine learning model training. The outcome aims to empower the job portal with clean, enriched data for informed decision-making and implementation of various AI algorithms to gain profound insights.
Assessing Dimensionality Reduction: This case study involves the comparison of various Dimensionality Reduction methods using a high-dimensional Healthcare Dataset. The goal is to apply different algorithms to evaluate information loss in each case. This study aims to determine the effectiveness of Dimensionality Reduction techniques and their applicability in managing high-dimensional data in healthcare analysis.
"I can't express how much I've benefited from the courses here. The professors are not just knowledgeable but also incredibly supportive. The practical approach to learning has prepared me for the real world, and I'm now working at my dream tech company."
"I'm amazed by the hands-on experience I've gained during my time here. The labs, projects, and research opportunities have given me a deep understanding of engineering principles. The diverse community of students also made my college life unforgettable."
"Studying fine arts at this institution has been a transformative journey for me. The freedom to express myself through art, coupled with the guidance of talented professors, has allowed me to grow as an artist. I've showcased my work in galleries, and I owe it all to this school."
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