Data Science
Data Science is an interdisciplinary field that involves the use of mathematical, statistical, and computational methods to extract insights and knowledge from structured and unstructured data. It involves the use of techniques such as machine learning, statistical modeling, and data visualization to analyze data and make predictions. It is widely used in industries such as finance, healthcare, marketing, and e-commerce to gain insights and make data-driven decisions.
Data Science Course Overview
Data Science is the extraction of insights and knowledge from structured and unstructured data using mathematical, statistical and computational methods.
Key Highlights
- Live Instructor- Led Sessions
- Fundamentals to Advanced
- Resume Preparation
- Group Discussion Sessions
- Daily Doubt Resolution Sessions
- Assignments and MCQs
- Career mentorship Sessions(1:1)
- Personality Development
- 100% Placement Assistance
- Lab Sessions
What is Data Science ?
Data Science is an interdisciplinary field that involves the use of mathematical, statistical, and computational methods to extract insights and knowledge from structured and unstructured data.It has a broad scope and can be divided into several streams. One of the streams is Data Mining, which involves identifying hidden patterns and relationships in large datasets. This helps in finding previously unknown information, which can be used for making better decisions.
Another stream is Predictive Modeling, which is about building models to predict outcomes based on historical data. This is widely used in various industries such as finance and healthcare to make predictions about future trends and events.
Data Visualization is another important stream of data science that involves creating graphical representations of data to facilitate understanding and communication. This helps in making data more accessible and understandable for non-technical audiences.
Business Intelligence is another stream of data science that deals with using data to support decision making in an organization. This helps in identifying trends, patterns and insights that can be used to make better decisions.
These are some of the broad areas of data science, the list is not exhaustive and there is a lot of overlap between the different streams.
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3 Days Free Classes
Job Opportunities
Data Scientist job opportunities are available across a variety of industries such as finance, healthcare, retail, technology, and marketing. Some of the job titles that fall under this field are:
- Data Analyst: These professionals are responsible for collecting, cleaning, and analyzing large sets of data to identify patterns and insights that can be used to make business decisions. They also create visualizations and reports to communicate their findings to stakeholders.
- Data Engineer: These professionals design, build, and maintain the infrastructure needed to store, process, and analyze large sets of data. This includes tasks such as data warehousing, data integration, and data quality management.
- Machine Learning Engineer: These professionals design, develop, and implement machine learning models to solve complex problems. They also fine-tune and optimize these models to improve their performance.
- Business Intelligence Analyst: These professionals are responsible for analyzing data to identify trends and patterns that can be used to improve business performance. They also create visualizations and reports to communicate their findings to stakeholders.
- Data Science Manager: These professionals lead teams of data scientists, data analysts, and data engineers. They are responsible for managing projects, allocating resources, and ensuring that the team is meeting its goals and objectives.
These jobs are available across a variety of industries such as finance, healthcare, retail, technology, and marketing. The required skills may include experience with programming languages such as Python and R, knowledge of machine learning algorithms, and experience with data visualization tools.
Machine Learning Course Curriculum
80%
Hands-on
50+
Case Studies
100+
Real-World Projects
3Hr
Daily Live Learning
- Basics of AI
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Cloud Computing
- Python {NumPy, Pandas, Matplotlib}
- Additional Topic: Operating System
- Data Collection
- Business Intelligence
- Data Wrangling
- Exploratory Data Analysis
- Python Lab {Pandas Adv, Tableau, Excel}
- MySQL Labs
Additional Topic: Virtualization
- Data Visualization
- Probability and Statistics
- Machine Learning Approaches
- Predictive Analysis
- Python Lab{ Sklearn, Keras, TensorFlow}
- Additional Topic: Networking
- Azure Fundamentals
- Model Training
- Pipelines
- MLOps
- Corporate Job Descriptions
- Azure Hands-on Lab
- Additional Topic: Cloud
Skills Covered
- Programming languages
- Linear algebra and statistics
- Data Analysis and Visualization
- Problem-solving and Communication
- Neural Networks
- Calculus
Tool Covered
Why learn Data Science?
Data science is a rapidly growing field that is in high demand across various industries. As more and more companies are looking to make data-driven decisions, the need for professionals who can extract insights and meaning from large amounts of data has never been greater. By learning data science, individuals can take advantage of this opportunity and secure high-paying jobs with excellent growth potential.
Data science is a multidisciplinary field that combines statistical analysis, machine learning, and programming, allowing individuals to solve complex problems and make a positive impact on society. It’s a field that requires continuous learning and staying updated with the latest advancements in technology.
Additionally, data science provides a wide range of job opportunities, from traditional roles in technology, finance and healthcare to newer fields such as social media, e-commerce and self-driving cars. With the demand for data scientists expected to increase in the coming years, now is a great time to start learning data science and take advantage of the many opportunities it provides.
50% Avg. Salary Hike
Average Salary : 6.57 LPA*
Hands-on Live Projects
24*7 Support
Target Companies
Data Science Training FAQs
This course is meant for candidates with basic knowledge of computer It is suitable for beginners.
If You did not attend the classroom session the next day we repeat the main topics
Yes, If you can’t afford to pay for a Certificate, you can apply for Financial Aid or a Scholarship or discuss through call.