Introduction
Dive into the world of data science, learning the basics of data analysis, visualization, and interpretation to extract meaningful insights
Course Benefits and Career Path
This course will open doors to a world of opportunities. By mastering the basics of data analysis and visualization, you'll gain skills applicable across various industries. Whether you dream of becoming a data analyst, business intelligence specialist, or even a data scientist, this course lays the foundation. With data driving the decision-making in today's world, your newfound abilities will be in high demand. Plus, you'll have the opportunity to explore fascinating projects and unlock insights from real-world data sets. Join this course to kickstart your journey into the dynamic field of data science and chart a rewarding career path ahead.
You will learn:
- About data science lifecycle
- Data visualization techniques and best practices
- Data cleaning and preprocessing techniques
- ML concepts and types of ML algorithms
- About supervised and unsupervised learning algorithms
- Model evaluation and validation techniques
- About Big Data and Distributed Computing
- Career paths and opportunities in data science and available certifications
Eligibility Criteria
Individuals who have completed their 12th grade, are Freshers or graduates with little experience, Professionals working in other streams, and Homemakers who possess basic computing skills, and have a fundamental understanding of the English language are eligible to take up this program.
Curriculum
Introduction to essential concepts for navigating the world of data where learners delve into fundamental principles such as data manipulation, analysis, and visualization. This module serves as the cornerstone for unlocking the potential of data science in various industries.
Get equipped with the essential skills to clean and prepare raw data for analysis by diving into techniques for handling missing values, outliers, and formatting inconsistencies. This module lays the groundwork for ensuring data quality and reliability, setting the stage for robust analysis and insights.
Get a comprehensive overview of the core concepts and algorithms in machine learning. learners explore supervised and unsupervised learning techniques, alongside practical applications in real-world scenarios. This module empowers learners to understand and implement machine learning models, paving the way for predictive analytics and data-driven decision-making.
Delve into the fundamentals of handling massive datasets and distributed computing frameworks. Get to know about technologies like Hadoop and Spark, exploring their role in processing and analyzing data at scale. This module equips learners with the skills needed to tackle the challenges of big data, paving the way for scalable and efficient data processing solutions.
Immerse in real-world projects, applying data science techniques to solve practical problems. Through hands-on experience, learners tackle challenges across various domains, from finance to healthcare to marketing. This module bridges the gap between theory and application, empowering individuals to deliver actionable insights and drive impactful decisions in their professional endeavors.
