Data Science
Dive into the world of data science where we unravel the complexities of data and transform it into actionable insights. This course is meticulously crafted to equip you with the skills required to analyze, interpret, and visualize data. You'll learn from seasoned professionals about machine learning algorithms, data wrangling, predictive modeling, and much more. Whether it's R, Python, SQL, or the latest in artificial intelligence, prepare to embark on a learning journey that positions you at the forefront of data-driven decision-making.
Next Cohort Start:
NOVEMBER 04, 2024
Weekday Class: Mon & Thur (8am - 1pm)
NOVEMBER 04, 2024
Online Class: Thur, Sat, and Sun (9pm - 12am)
Our Process
Immersive Training
Become proficient in modern technologies through our immersive training over 24 weeks. We prioritize hands-on experience to make you adept in Full-Stack Development.
Practical Application
Engage in real-world projects to build a solid foundation in web development. Our focus is on collaborative learning to build APIs, dynamic applications, and responsive websites.
Experience & Employment
Graduate with not just a portfolio, but also with 1-2 years' worth of equivalent experience. Our students receive career guidance to seamlessly transition into tech roles.
Introduction To Data Analysis
Kickstart your journey into data analysis with this introductory module. Grasp the fundamentals of statistical analysis, learn the principles of data manipulation, and discover how to turn datasets into actionable insights. You’ll get hands-on experience with Python, the leading programming language in data science, to perform real data analysis. We’ll dive into Python libraries such as pandas and matplotlib to explore data frames and visualization techniques, laying the groundwork for more advanced data analysis and machine learning.
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Introduction To SQL
Delve into the realm of databases with our SQL introductory module. You'll learn the essentials of database theory, understand how to use SQL to query and manipulate data, and gain hands-on experience with SQL statements on real databases. This module covers creating and managing tables, employing complex queries to extract insights from data, and understanding transactions and indexing for optimized database performance. By mastering SQL, you'll acquire a vital skillset needed for data-driven decision-making and analytics.
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Data Exploration and Visualization
This unit empowers you to reveal the stories hidden within data through exploration and visualization. You will learn to use various data analysis techniques to discover patterns, relationships, and insights. We'll cover data wrangling, exploratory data analysis (EDA), and introduce you to powerful visualization tools and libraries such as Matplotlib, Seaborn, and Tableau. By creating informative and compelling visual narratives, you’ll be able to communicate findings effectively and make data-driven decisions with confidence.
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Advanced Data Analysis Techniques
Building on the fundamentals, Unit 4 delves into advanced data analysis techniques essential for modern data science. This module covers a range of topics, including predictive analytics, machine learning algorithms, and time-series analysis. You'll get to grips with complex analytical methods, learn how to build and evaluate predictive models, and understand how to handle large datasets. We'll also explore advanced features of analytical tools like Python's scikit-learn and time-series forecasting libraries to give you a competitive edge in the field.
Capstone Project
The Capstone Project is the pinnacle of our data science program, providing students with a unique opportunity to apply all the knowledge and skills they've acquired. Under the guidance of our expert mentors, students will identify a real-world problem, conduct thorough research, and utilize advanced data analysis techniques to develop innovative solutions. This project is not only a test of their analytical prowess but also a chance to create a portfolio-worthy piece that demonstrates their ability to solve complex challenges in a structured and insightful manner.
Throughout this unit, students will enhance their critical thinking, improve their project management skills, and learn to communicate their findings effectively to a diverse audience. The Capstone Project is a transformative experience that prepares students for successful careers in data science.
