Advanced Data Analytics and Data Science
In this 12-week course, you will gain a comprehensive understanding of how to use data to drive informed decisions. You will learn how to acquire data from various sources, visualize data effectively, and apply machine learning methods to your analysis. You will also learn advanced Python packages and techniques for data science, make predictions and forecasts for the future, optimize decision-making processes, and tell impactful stories with data. Through hands-on projects and real-world examples, you will develop the skills and knowledge needed to become a successful data scientist.
What you’ll learn
1) Data Wrangling Techniques
2) Machine Learning & Regression Analysis
3) Statistical Analysis
4) Interactive Data Visualization
5) Python for Advanced Analytics
6) Prescriptive Analytics
7) Craft Compelling Data Narratives
Course Objectives
Course Prerequisites
What does this course look like?
This 12-week course is a comprehensive exploration of data science and analytics. It covers essential aspects such as data wrangling, machine learning, regression analysis, statistical techniques, and dynamic data visualization. Additionally, you'll gain proficiency in advanced Python for analytics. The learning experience is bolstered by quizzes, exams, real-life projects, and data challenges, ensuring practical application of knowledge. By the end, you'll emerge as a skilled data scientist, equipped to make informed decisions and craft compelling data narratives.
Who is it for?
This course is designed for individuals who are eager to deepen their understanding and practical skills in data science and analytics. It caters to aspiring data scientists, analysts, professionals seeking to transition into data-related roles, as well as anyone interested in harnessing the power of data for informed decision-making. Whether you have a background in technology, business, or any field where data plays a crucial role, this course will equip you with the necessary tools and knowledge to excel in the dynamic world of data science.
How much does this course cost?
Course Syllabus
- Overview of data analytics
- Types of data analytics
- Importance of data analytics
- Key concepts and terminologies
- Tools and technologies used in data analytics
- Data sources
- Data collection techniques
- Data preparation techniques
- Data cleaning and pre-processing
- Univariate analysis
- Bivariate analysis
- Multivariate analysis
- Data visualization
- Overview of machine learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Overview of classification
- Decision trees
- Random forests
- Neural networks
View the full program syllabus, click for access!
Cohort Schedule
Cohort Time Schedule
Cohort Schedule
Not sure about
Here’s what our instructor has to say
Want to learn full stack web development but don’t know where to start? Consider signing up to learn full stack with Python.
Python is easy to learn and great for back-end coding. The popularity of Python as a programming language is on the upsurge, thanks to its readability and ability to do more with less coding. If you are looking for a course that offers Python web development for beginners, look no further. Our online course allows you to learn full stack web development with Python at your own pace from the comfort of your home.
Our Java full stack developer course is designed to kickstart your programming career as a Java full stack developer. We regularly update our Java full stack developer course to make sure it is relevant and useful for our students. If you want to join our full stack JavaScript course, but aren’t sure if you have time to attend the classes, don’t worry. We schedule our classes on weekends and weekday evenings. Even if you work full-time, you can still attend our classes.
No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.
The course is designed for diverse backgrounds; If programming or tech is a career track you really want to pursue, you can sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student etc.
It can vary depending on your unique background. However, it usually takes 1-15 hours/week outside of the classroom for homework and study time.
Yes, you will be given a certificate of completion for this course after you pass your final exam.
Yes, please refer to our Veterans page for more details.
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