Data Science is all about extracting meaningful insights from gigabytes of data. This Master’s program will revolve around the concepts of Data Science, Machine Learning, Data Cleaning, and Data Analysis. This course will help you understand core concepts and the latest advancements including Supervised, Unsupervised, and Reinforcement Learning.
Duration:- 3 Months
Algorithms Covered:- Supervised, Unsupervised, and much more
Modules:- 4
Enrolling in this course will allow you to become an expert in one of the hottest domains of the industry. Data Science and Machine Learning course will help you gain an understanding of Data Visualization, Utilization, Storage, and Machine Learning Algorithms and make you ready for the advanced technologies.
Prerequisites
Good knowledge of programming fundamentals of Python.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning, and big data
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making.
Text mining is an automatic process that uses natural language processing to extract valuable insights from unstructured text. By transforming data into information that machines can understand, text mining automates the process of classifying texts by sentiment, topic, and intent.
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making.
Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence.
Statistical analysis is the science of collecting data and uncovering patterns and trends. It’s really just another way of saying “statistics.” After collecting data you can analyze it to: Summarize the data
Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity.
It is the transportation of data from assorted sources to a storage medium where it can be accessed, used, and analyzed by an organization.
Data wrangling is the process of gathering, selecting, and transforming data to answer an analytical question. Also known as data cleaning or “munging”
Mini Projects:-
Major Job Roles of Our Students Who have been placed
Case Studies:-
Placement Process
The Program is designed to help you to take your first step into the world of Data Science. There is a great demand for the professionals who can turn data analysis into competitive advantage for their Organizations
Learn what data science is, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist.
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists.
Apply various data science skills, techniques, and tools to complete a project and publish a report.
Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python.
Anyone with a desire to learn
6 Months
Jain University
Get an in-dept understanding of mathematics that forms the basis of every numerical computation and algorithm in data science.
Understand and get hands-on experience in programming languages to implement various algorithms.
Master different data visualization tools to build Interactive plots and dashboards to derive business Insights.
Master data Engineering Skills to clean and process a massive amount of data to avoid missing values.
Have sound database knowledge to deal with the structured data.
Learn and implement machine learning algorithms to create predictive models.
Our Diploma program is exclusive and the university certificate is proof that you have taken a huge leap in mastering the course.
The knowledge and skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about it on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.
A degree holder from science/commerce background who is willing to upgrade and shape up their career in the field of Data Science can take up the course.
Data Science is a versatile field that has found applications in every industry, including healthcare, banking, e-commerce, business, and consultancy services.While Data analyst,Data scientist, and data engineer broadly describe the different roles data experts can play at a company.
The most important trait among data scientists aren’t technical degrees, or the amount of time spent in school. It’s the curiosity that pulls them to hard problems and pulls out solutions and new insights from old datasets. You can get into data science from a non-technical background and do the same thing.
Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course
A degree holder from science/commerce background who is willing to upgrade and shape up their career in the field of Data Science can take up the course.
In Simple words Data Science is all about getting meaningful information from large amount of complex data. it is basically an extension of various data analysis fields such as data mining, predictive analysis and many more.
Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course
Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions,data science is valuable to any company in any industry.
Classes will be both Online /Offline, Weekday/Weekends as per your Convenience and Comfort.
Always there will be a backup class for every class.
Yes, we Provide TOP Interview Questions and Answers which are frequently asked in interviews, Latest tips and tricks to clear your technical rounds.
Candidate must have at least 80% attendance for each module and should have knowledge of all the modules that has been taught.
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Copyrights © 2021 Learn Digital Academy.
All Rights Reserved. Powered By Webi7
