Picture this: You’re at a party filled with data enthusiasts, and the conversation quickly turns to the latest online courses that are making waves in the data science world. You excitedly join in, ready to share your favorite online course with the group, but suddenly realize – you’re not quite up to speed on the current offerings in data science education. You listen intently but can’t help thinking, “Where do I even start to find and choose the right data science online course for me?” Well, fear not, data-driven friend! You’ve come to the right place.
In today’s rapidly evolving world of technology, staying up-to-date with the latest skills and knowledge is crucial for professionals across various industries, especially the field of data science. With more and more online platforms now offering tailored courses to fit every level of expertise, the convenience of learning has never been better. And that’s exactly what we’re diving into! In this blog post, we’ll give you a head start on your data science educational journey by exploring some of the best data science online courses available, tailored to match your needs, interests, and career goals. So get comfy, grab a cup of coffee, and let’s dig in!
Data Science Courses – Table of Contents
- Python for Data Science and Machine Learning Bootcamp
- Complete Machine Learning & Data Science Bootcamp 2023
- Data Science: Supervised Machine Learning in Python
- Data Science and Machine Learning with Python
- Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]
- One Week of Data Science in Python – New 2023!
- 3D Animation & Data Visualization in Autodesk Maya
- Statistics for Data Science and Business Analysis
- Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
- The Data Science Course: Complete Data Science Bootcamp
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Python for Data Science and Machine Learning Bootcamp
Platform:
Udemy
Rating:
4.6 out of 5
Are you ready to dive into the world of Data Science? This comprehensive online course will guide you through learning Python, a programming language essential for analyzing data, creating visualizations, and utilizing machine learning algorithms. A career in Data Science is not only rewarding but has been ranked as the number one job on Glassdoor, boasting an average salary of over $120,000 in the United States. This course is designed for those with some programming experience, as well as experienced developers looking to transition into Data Science.
With over 100 HD video lectures and detailed code notebooks for every lecture, this course is comparable to bootcamps that cost thousands of dollars. You’ll be learning a range of topics, including Python programming, data analysis using pandas Data Frames, web scraping with Python, data visualization with matplotlib, seaborn, and plotly, and various machine learning techniques using SciKit Learn. So, why wait? Enroll in the course and take the first step towards becoming a Data Scientist today!
Skills you’ll learn in this course:
- Programming with Python
- Data analysis using NumPy and pandas
- Web scraping and connecting Python to SQL
- Creating data visualizations with matplotlib, seaborn, and plotly
- Implementing machine learning algorithms with SciKit Learn
- Working with natural language processing
- Developing neural networks and deep learning models
- Applying support vector machines in data science
Complete Machine Learning & Data Science Bootcamp 2023
Platform:
Udemy
Rating:
4.6 out of 5
Unlock the secrets of data science and machine learning with this comprehensive and up-to-date course, taught by industry experts who have experience in Silicon Valley, Toronto, and other major tech hubs. With over 900,000 engineers already enjoying the benefits of this course, you’ll join a thriving community dedicated to learning and mastering the most current trends and skills in data science. This course is designed for both beginners and experienced programmers, offering separate tracks to cater to different levels of expertise.
Throughout this interactive and project-based course, you’ll gain access to a variety of resources such as workbooks, templates, and code samples, which will be crucial in developing your skills and building your portfolio. The course covers multiple aspects of data science and machine learning, from the basics like Python, TensorFlow 2.0, and model evaluation to more advanced topics like neural networks, deep learning, and transfer learning. By the end of the course, you’ll be ready to tackle real-world projects such as Heart Disease Detection and Dog Breed Image Classifier, demonstrating your newfound expertise as a data scientist and machine learning engineer. So, don’t hesitate – click “Enroll Now” and embark on a journey to transform your career in data science and machine learning.
Skills you’ll learn in this course:
- Data Exploration and Visualizations
- Neural Networks and Deep Learning
- Model Evaluation and Analysis
- Python 3 and associated libraries (Numpy, Scikit-Learn, TensorFlow 2.0)
- Data Science and Machine Learning Projects and Workflows
- Transfer Learning
- Image recognition and classification
- Supervised Learning: Classification, Regression, and Time Series
Data Science: Supervised Machine Learning in Python
Platform:
Udemy
Rating:
4.7 out of 5
AI and machine learning have been making huge strides in recent years, impacting a wide variety of industries such as finance, medicine, and robotics. This online course delves into essential machine learning algorithms to provide you with a deep and practical understanding of their concepts and implementations. The course covers K-Nearest Neighbor, Naive Bayes Classifier, Decision Trees, and Perceptron algorithms, all of which will be implemented from scratch.
Rather than just learning to use an API, this course focuses on helping you truly comprehend how machine learning models work, teaching you to visualize what’s happening internally. By the end of the course, you’ll also have a solid understanding of more practical aspects of machine learning, like hyperparameters, cross-validation, feature extraction, and feature selection. Finally, you’ll cap off your learning experience with the creation of a web service that runs a machine learning model and makes predictions, a real-world and practical application. The course materials are all free, and the prerequisites include knowledge of calculus, probability, Python coding, and experience with Numpy, Scipy, and Matplotlib.
Skills you’ll learn in this course:
- Understanding and implementing K-Nearest Neighbor algorithm
- Mastering Naive Bayes and General Bayes Classifier
- Implementing Decision Tree algorithm
- Learning about Perceptrons and their connection to neural networks and deep learning
- Practical machine learning concepts: hyperparameters, cross-validation, feature extraction, feature selection, and multiclass classification
- Comparing machine learning with deep learning
- Using Sci-Kit Learn library for efficient, optimized code
- Creating a web service that runs a machine learning model and makes predictions
Data Science and Machine Learning with Python
Platform:
Skillshare
Rating:
4.2 out of 5
Ready to dive into the world of Machine Learning and Data Science? Look no further than this Python Data Science Master Class! Whether you’re a beginner or have some experience with Python, this course has you covered. Get ready to explore the full data science workflow, from loading and cleaning data to building and evaluating machine learning models. You’ll use popular Python libraries like Jupyter, NumPy, SciPy, and many more to gain a solid understanding of data science and analytics.
Your instructor, Jesper Dramsch, is a machine learning researcher with a background in geophysics and Python programming. Ranked 81st worldwide on the machine learning contest website Kaggle, Jesper has taught Python, machine learning, and data science to students across the globe. Boasting an IBM Data Science certification earned in under 48 hours, you know you’re in great hands with Jesper. Don’t miss out on this incredible opportunity to sharpen your skills in today’s most sought-after fields with a passionate and experienced instructor!
Skills you’ll learn in this course:
- Mastering Python syntax and data science workflow.
- Loading data from various sources such as files and databases.
- Cleaning and preparing data for analysis.
- Exploring and understanding data for better insights.
- Building and evaluating machine learning models.
- Analyzing customer churn and validating models.
- Visualizing data and creating comprehensive reports.
- Gaining proficiency in popular Python libraries such as Jupyter, NumPy, SciPy, Pandas, MatPlotLib, Seaborn, and Scikit-Learn.
Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]
![Course Preview Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]](https://coursedelta.s3.us-central-1.wasabisys.com/course-img/05302315514379_image..png)
Platform:
Udemy
Rating:
4.6 out of 5
Forget those fluffy online classes that make everything seem easy; this data science course by Kirill Eremenko is designed to throw you into the deep end! You’ll experience firsthand all the pains a data scientist goes through daily, dealing with corrupt data, anomalies, and irregularities. By the end of the course, you’ll not only have learned how to clean and prepare data for analysis, perform basic visualizations, model data, and curve-fit, but you’ll also be prepared to dazzle your audience with your findings.
Kirill’s course offers plenty of practical exercises to ensure the real world will feel like a piece of cake by the time you graduate. Get ready for thought-provoking and challenging homework that might make you want to cry, but we know you won’t give up – you’ll crush it! Throughout this learning journey, you’ll acquire a solid understanding of various tools, including SQL, SSIS, Tableau, and Gretl. Plus, you can customize your experience by choosing a pre-planned pathway that aligns with your specific skill set. Whether you complete the entire course or pick specific sections, you’ll be setting yourself up for a fantastic career in data science. So, hop on board and start learning today!
Skills you’ll learn in this course:
- Clean and prepare data for analysis
- Perform basic data visualization
- Model data effectively
- Curve-fit data accurately
- Present findings in a captivating manner
- Utilize SQL skills
- Apply SSIS techniques
- Use Tableau and Gretl software
One Week of Data Science in Python – New 2023!
Platform:
Udemy
Rating:
4.6 out of 5
If you’re looking to dive into the world of Data Science, then this course might be the perfect fit for you. Designed specifically for beginners and busy entrepreneurs, it aims to teach you the essentials in just one week. With a focus on practicality, you’ll have the opportunity to work on more than ten projects throughout the course, tackling real-world business problems and learning how to apply Data Science effectively to optimize processes, boost revenues, and minimize expenses.
Each 1-2 hour daily session will cover key topics, such as Data Science concepts and project lifecycle, exploratory data analysis, visualization techniques, regression fundamentals, hyperparameter optimization, and classification algorithms. Plus, you’ll get to learn about Data Science on Autopilot using the AutoGluon library! Upon completion, you’ll earn a certificate to showcase your skills on LinkedIn. And the cherry on top? This course comes with a 30-day money-back guarantee, so you can decide if it’s the right fit for you without any risk. Don’t wait any longer – enroll today and start harnessing the power of Data Science!
Skills you’ll learn in this course:
- Master key Data Science concepts and project lifecycle.
- Perform exploratory data analysis and visualization techniques using Pandas, matplotlib, and Seaborn libraries.
- Build, train, test, and deploy regression models using the Scikit Learn library.
- Implement hyperparameter optimization strategies such as grid search, randomized search, and Bayesian optimization.
- Train several classification algorithms, including Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest Classifier, and Naïve Bayes in SageMaker and SK-Learn libraries.
- Utilize the AutoGluon library for prototyping multiple AI/ML models and deploying the best one.
- Gain a fundamental understanding of Data Science to solve practical, real-world business problems.
- Complete practical project-based learning by building over ten projects throughout the course.
3D Animation & Data Visualization in Autodesk Maya
Platform:
Skillshare
Rating:
4.4 out of 5
Are you looking to expand your creative skills by learning 3D animation? Let me introduce you to an amazing course that can help you achieve just that! Taught by Lucas Ridley, a talented animator who has worked on projects like Clash of Clans, Transformers, Suicide Squad, and Ready Player One, this course takes a project-based approach that lets you learn by actually creating something you can use in your day-to-day life. The best part is, you don’t have to be intimidated by 3D, as Lucas will guide you step by step throughout the entire process.
Structured around four sections—Line Graph, Bar Graph, Pie Chart, and Maps—this course will teach different methods and techniques for each type of visualization using Maya, the industry-standard 3D software. Additionally, you’ll get a chance to work with Adobe After Effects and Photoshop for finalizing your renders and manipulating textures. Whether you’re a complete beginner or have some 3D experience, this course is designed to offer valuable insights and creative solutions that you may not find anywhere else. So why wait? Enroll now and embark on an exciting journey into the world of 3D animation!
Skills you’ll learn in this course:
- Creating animations from scratch
- Enhancing data visualization in presentations
- Navigating and utilizing Maya for projects
- Using Arnold renderer alongside Autodesk Maya
- Integrating Adobe After Effects and Photoshop into your workflow
- Building and customizing various types of charts (line, bar, pie)
- Applying creative solutions to challenges
- Avoiding common pitfalls in animation and design
Statistics for Data Science and Business Analysis
Platform:
Udemy
Rating:
4.6 out of 5
Are you looking to work as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist? If so, the online course “Statistics for Data Science and Business Analysis” is perfect for you! With templates in Excel included, this comprehensive and easy-to-understand course will equip you with the fundamental skills to comprehend complex statistical analyses and their real-life applications.
This engaging course covers all major statistical topics and skills required for a successful career in data science, including data visualization, quant research, and more. High-quality animations, course materials, quiz questions, handouts, and a glossary are just a few of the perks subscribers can enjoy. Plus, the instructor provides excellent support, ensuring you receive a response within one business day if assistance is needed. With expert knowledge, dynamic pacing, and extensive case studies, this course stands out from the rest, setting you on the path to a secure, challenging, and potentially high-paying career in the data science field. Sign up today and take advantage of Udemy’s 30-day unconditional money-back guarantee. So why wait? Click ‘Buy now’ and start learning together today!
Skills you’ll learn in this course:
- Understanding complicated statistical analysis
- Data visualization techniques
- Quantitative research methodology
- Critical thinking abilities
- Interpretation of statistical results
- Application of statistical tests
- Use of data analytics software/tools
- Communication of quantitative findings
Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
Platform:
Udemy
Rating:
4.2 out of 5
Get ready to dive into the exciting world of Data Science and Machine Learning! The “Data Science & Machine Learning Full Course in 90 Hours” is an all-inclusive course that covers various aspects of these fields in great detail. The course is designed to be easily digestible, ensuring that you’ll not only gain a solid theoretical foundation but also practical hands-on training in Data Science and Machine Learning. It’s perfect for beginners and covers complex concepts gradually.
This engaging course consists of multiple sections that are interlinked and sequential, covering topics such as Python for Data Science and Data Analysis, Data Understanding and Data Visualization, Probability and Statistics in Python, Machine Learning Crash Course, Feature Engineering and Dimensionality Reduction, Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN) with Python. What sets this course apart is its exceptional focus on practical “learning by doing” experiences with live coding and thorough explanations. Enroll in this comprehensive course at a fraction of the cost of other courses and start your Data Science and Machine Learning journey today!
Skills you’ll learn in this course:
- Apply data science and machine learning concepts, principles, and theories.
- Manipulate and visualize real datasets using data science packages (NumPy, Pandas, Matplotlib, Seaborn, etc.).
- Understand and apply probability and statistics concepts in data science.
- Develop and implement machine learning models using Python and Sklearn.
- Perform feature engineering, dimensionality reduction, and data preprocessing for machine learning models.
- Implement Artificial Neural Networks (ANNs) and TensorFlow for large-scale machine learning problems.
- Apply Convolutional Neural Networks (CNNs) for image processing and computer vision tasks.
- Utilize pre-trained CNNs for transfer learning and build custom applications such as Human Face-Verification and Neural Style Transfer.
The Data Science Course: Complete Data Science Bootcamp
Platform:
Udemy
Rating:
4.6 out of 5
Data science is a booming field with a high demand for skilled professionals. However, acquiring the necessary skills to enter this profession has been a challenge, with limited resources and fragmented online courses. To address this issue, The Data Science Course 2023 offers a comprehensive, structured, and cost-effective training program that covers all the vital topics needed to become a successful data scientist.
The course covers subjects such as data science basics, mathematics, statistics, Python programming, Tableau for data visualization, advanced statistics, and machine and deep learning using TensorFlow. This step-by-step approach ensures that learners acquire the right skills in the right order, providing a solid foundation to excel in the field of data science. By the end of the course, students will have all the knowledge they need to get hired as a data scientist, along with a certificate of completion, active Q&A support, and access to a community of data science learners. Don’t miss the opportunity – join The Data Science Course 2023 today and become a data scientist from scratch!
Skills you’ll learn in this course:
- Understanding of the data science field and the types of analysis carried out
- Mathematics (specifically calculus and linear algebra)
- Statistics and scientific thinking
- Python programming
- Data visualization with Tableau
- Advanced statistical techniques (regressions, clustering, factor analysis)
- Machine Learning
- Deep Learning with TensorFlow
In closing, the world of data science is vast, and the abundance of online courses can admittedly feel a bit overwhelming. But fear not! Armed with the right mindset and a clear understanding of your objectives, narrowing down your options to find the perfect fit should be a breeze. Think about your long-term goals within data science, and consider the formats, time commitments, and community aspects of each course offering.
Remember, diving into data science doesn’t have to be a sink or swim situation. With the variety of online courses available, you’re empowered to shape your journey according to your learning style and interests. As with any expedition into new territory, consistently applying yourself, staying curious, and connecting with fellow learners will ultimately yield the best results. So go ahead, take the plunge, and embark on an exciting journey to become a data science aficionado!