Overview:
Data science is an interdisciplinary field that uses scientific methods, processes,
algorithms, and systems to extract knowledge and insights from structured and unstructured data. It
involves the use of techniques from statistics, data analysis, machine learning, and computer
science to extract insights and knowledge from data. Data science can be applied in a wide range of
fields, including business, healthcare, finance, and government, among others. The goal of data
science is to turn raw data into actionable insights that can inform decision-making and improve
outcomes.
Data science is the study of data. Like biological sciences is a study of biology, physical
sciences, it’s the study of physical reactions. Data is real, data has real properties, and we need
to study them if we’re going to work on them. Data Science involves data and some signs.
It is a process, not an event. It is the process of using data to understand too many different
things, to understand the world. Let Suppose when you have a model or proposed explanation of a
problem, and you try to validate that proposed explanation or model with your data.
It is the skill of unfolding the insights and trends that are hiding (or abstract) behind data. It’s
when you translate data into a story. So use storytelling to generate insight. And with these
insights, you can make strategic choices for a company or an institution.
We can also define data science as a field that is about processes and systems to extract data of
various forms and from various resources whether the data is unstructured or structured.
The definition and the name came up in the 1980s and 1990s when some professors, IT Professionals,
scientists were looking into the statistics curriculum, and they thought it would be better to call
it data science and then later on data analytics derived.
Key Features:
Certificate of Data Science course completion
Shareable Certificate
Earn a Certificate upon completion
Online/Offline courses
- Updated Data Science course syllabus.
- No prior experience required.
- Skill Level. Beginner, Intermediate, Advance. We are providing Training to the needs from Beginners level to Experts level.
- Your knowledge will be as good as one year experienced professional after completing Data Science course in Kolhapur.
- We provide in-depth demonstrations on every aspect of course topics.
- More than 400+ network with IT companies and experts which appreciate our Data Science training content as relevant to current needs
Syllabus:
- Module 1: Introduction to Data Science
- Module 2: Introduction to Python
- Module 3: Python Basics
- Module 4: Python Packages
- Module 5: Importing Data
- Module 6: Manipulating Data
- Module 7: Statistics Basics
- Module 8: Error Metrics ,Etc...
- Module 1: Supervised Learning
- Module 2: Unsupervised Learning
- Module 3: SVM
- Module 4: SVM Kernal
- Module 5: Other Machine Learning Algorithms ,Etc...
- AI Introduction
- Perceptron
- Multi-Layer perceptron
- Markov Decision Process
- Logical Agent & First Order Logic
- AL Applications ,Etc...
- Module 1: Tableau Course Material
- Module 2: Learn Tableau Basic Reports
- Module 3: Learn Tableau Charts
- Module 4: Learn Tableau Advanced Reports
- Module 5: Learn Tableau Calculations & Filters
- Module 6: Learn Tableau Dashboards
- Module 7: Server ,Etc...
- Module 1: Introduction to Database
- Module 2: IRetrieve Data using the SQL SELECT Statement
- Module 3: Learn to Restrict and Sort Data
- Module 4: Usage of Single-Row Functions to Customize Output
- Module 5: Invoke Conversion Functions and Conditional Expressions
- Module 6: Aggregate Data Using the Group Functions
- Module 7: Display Data from Multiple Tables Using Joins
- Module 8: Use Subqueries to Solve Queries ,Etc...
Duration:
Certification:
Earn your Data Science course certificate Our course is exhaustive and this Data Science certification is proof that you have taken a big leap in mastering the domain. Differentiate yourself with a Masters Certificate The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition. Share your achievement Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.