Advanced Data Analytics
Embark on a 16-week journey to master data driven decision-making. Gain expertise in data science, machine learning, and artificial intelligence - high demand skills in today's industry. Learn data acquisition, exploratory analysis, and advanced Python for effective visualization. Acquire practical knowledge in machine learning, AI fundamentals and Ethics, and optimization strategies. Develop predictive analysis skills and storytelling with data, enhancing your ability to make impactful decisions. Through hands-on projects, this course will equip you to confidently navigate the complexities of data science and become a sought-after data scientist.
What you’ll learn
In this Course, you'll learn the following:
- Analytics in Decision Making
- Maturity Model Setup with Tools
- SQL and Python Concepts
- Data Acquisition & Data Profiling
- Statistical Inference and Hypothesis Testing
- Exploratory Data Analysis
- Data Visualization (Python Packages)
- Simple Linear Regression
- Predictive Analytics
- Multiple Linear Regression
- Logistic Regression
- Decision Tree, Support Vector Machine, Neural Network
- AI Tools in Data Science
- Applications of AI in Data Science
Course Objectives
Course Prerequisites
What does this course look like?
This comprehensive course delves into critical facets such as data wrangling, machine learning, regression analysis, statistical techniques, and dynamic data visualization, complemented by proficiency in advanced Python for analytics and AI applications.
The learning experience is enriched through a blend of quizzes, exams, real-life projects, and data challenges, ensuring hands-on application of knowledge. By the course's culmination, you will emerge not only as a skilled data scientist but also as an adept practitioner in leveraging AI, equipped to make informed decisions and weave compelling narratives in the evolving landscape of data analytics.
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
- Importance of analytics in contemporary decision-making processes.
- Exploration of analytics applications in effective decision-making.
- Real-world examples of successful analytics driven decision strategies.
- Understanding the maturity model in analytics.
- Practical setup and utilization of analytics tools for maturity assessment.
- Brush up on SQL and Python concepts crucial for data analytics.
- Hands-on exercises to reinforce SQL and Python skills.
- Sources and types of data for analytics.
- Techniques for data acquisition, storage, and maintaining data quality.
- Introduction to Azure or Google Cloud Platform for data handling.
- One sample and two sample t-tests, Z-tests, and chi-square tests.
- Understanding Type I and Type II errors.
- Interpretation of confidence intervals.
- Techniques for exploring and summarizing data.
- Introduction to stream analytics pipeline for real-time data examination.
View the full program syllabus, click for access!
Cohort Schedule
Cohort Time Schedule
Cohort Schedule
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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.
Our courses are designed for diverse backgrounds; If programming or tech is a career track that you really want to pursue, you may 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 18 hours/week outside of the classroom for homework and study time.
Yes, you will be given a certificate of completion for any course, after you pass the final exam.
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