Sincxpress Education

4+ hours on using ChatGPT to code, learn about, apply, and communicate data science. If you're new to ChatGPT, this course will change your life.

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3.5 hours of clear instruction on how to use AI-assisted writing for various tasks. The goal is to use ChatGPT to help you be a better writer.

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Learn how to use ChatGPT to accelerate your math and quantitative reasoning skills.

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3.5 hours of clear instruction on how to use AI-assisted writing for various tasks. The goal is to use ChatGPT to help you be a better writer.

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57+ hours of instruction on modern deep learning (using PyTorch), with LOTS of exercises and code-challenges to help you hone your DL skills. Includes a Python tutorial.

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35 hours of instruction (>50 hours in total, including exercises) on a rigorous deep-dive into statistics and machine learning. All concepts are implemented in Python and MATLAB.

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Learn why, when, and how to maximize the quality of your data to optimize data-based decisions.

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Free short course on statistics lingo and concepts (no math or code!).

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30+ hours of clear explanations of concepts in linear algebra, including vectors, matrix multiplications, least-squares projections, eigendecomposition, and singular value decomposition.

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Over 41 hours of instruction (including a Python intro tutorial). Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

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37+ hours of instruction (>60 hours in total, including exercises) on how to use Python as a tool for learning concepts and visualizations in mathematics.

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12+ hours of instruction about applied signal-processing methods, including filtering, denoising, convolution, resampling, interpolation, and outlier detection.

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Theoretical and computational bases of the Fourier transform, and its implementation in modern applications in digital signal processing, data analysis, and image filtering. MATLAB and Python codes are included.

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45+ hours of video lectures that supplement my book "Analyzing Neural Time Series Analysis." Includes a lot of exercises with fully explained solutions.

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17 hours of instruction on theory and implementation of dimension-reduction and source-separation methods for multivariate data. Includes MATLAB codes, sample data, and a 3-hour linear algebra crash-course.

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32+ hours of instruction (>80 hours in total, including exercises) on using Python for scientific computing. No previous background in Python necessary!

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37+ hours of instruction (>60 hours in total, including exercises) on how to use Python as a tool for learning concepts and visualizations in mathematics.

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6+ hours of video instruction on getting started with MATLAB, debugging code, and developing a programming style. Learn how ChatGPT can help you learn MATLAB. Ideal for a beginner who needs to get up-to-speed with MATLAB.

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40 hours of video instruction on MATLAB programming instruction (longer if you do all the exercises!). Lessons revolve around specific applications in graphics, data analysis, image processing, import/export, and so on.

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This course teaches MATLAB programming in neuroscience data analysis using MATLAB. Each of five modules covers a range of specific data processing, analysis, and visualization skills that neuroscientists often need.

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