Best Data Science Courses on Coursera in 2020
Best online certifications to boost your Data Science career
Online certification courses have become increasingly popular in recent years thanks to their flexibility and cost. With Amazing Platforms like Coursera, Udacity, and Edureka!, anyone at any skill level can find something to learn and enhance their skill level. In this post, we highlight the best Data Science courses available right now on Coursera.
Understanding Data Science
Simply put, data science is the study of data. It involves extracting, analyzing, visualizing, managing, and storing data to create insights. Organizations use these insights when making data-driven decisions. Data science requires the use of both structured as well as unstructured data. It is a multidisciplinary field that is rooted in math, statistics, and computer science. It is one of the most highly sought after jobs thanks to the abundance of data science positions and attractive compensation.
Five reasons you should study data science
1. It is in demand
The demand for data science is on the rise with numerous job opportunities for prospective job seekers. It is predicted to create over 11 million jobs by 2026. This makes data science a highly employable industry.
2. A highly paying career
Data science has some of the most highly paying jobs. According to survey, Data Scientists earn an average of $116,100 per annum. This makes Data Scientists some of the most paid professionals.
3. Data science is versatile
Data science has numerous applications. It is widely used in the financial, healthcare, ecommerce, and consultancy industries. This makes data science a very versatile field with plenty of job opportunities for professionals.
4. Data science makes data better
Organizations are looking for data scientists who can process and analyze their data. Besides data analysis, these professionals also work in improving data’s quality. Data science deals with enriching the available data to make it useful for their organization.
5. Data scientists are extremely prestigious
Data scientists help organizations make smarter business decisions. Organizations look up to data scientists and engage their expertise to provide better outcomes for their clients and stakeholders. This gives data scientists a crucial position in the organization.
Best Data Science Certifications on Coursera
I. Beginner Data Science courses
So you are just getting started with the basics of Python and how to put up your first data science models. You have not done much statistics or data science before. You have heard a few terminology but those are just buzzwords for you presently. You want to build your data science knowledge from ground up. Well, here are the best online beginner data science courses for you:
1. Introduction to Data Science in Python
Offered by the University of Michigan, this online certification is designed to introduce learners to the basics of the Python programming environment, including the basic Python programming techniques like lambdas, reading and manipulating CSV files, as well as the numpy library. You will learn data manipulation and cleaning techniques using Python pandas data science library and be introduced to the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how you can use functions like pivot tables, merge, and groupby. By the end of this certification, you should be able to take tabular data, clean and manipulate it, and run basic inferential statistical analysis.
2. Python Data Structures
Another University of Michigan sponsored online Python certification course, this program will introduce you to the core of data structures of Python programming language. It will take you past the basics of procedural programming and explore how you can use Python built-in data structures like dictionaries, lists, and tuples to perform fairly complex data analysis. By the end of this course, you will gain the following skills: Python Syntax, Semantics, Data Structure, and Tuples.
3. IBM Data Science
Data Science has been ranked as one of the most on-demand professions. This IBM sponsored Professional Certification is designed for anyone interested in developing skills and experience to follow through with a career in Machine Learning or Data Science.
This certification comes with 9 courses providing learners with the latest job-ready skills and techniques that cover a wide array of data science topics like methodologies, open source tools and technologies, SQL, Python, data analysis, databases, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools as well as real-world data sets. Upon successful completion of this certification, you will have done multiple hands-on assignments and built a portfolio of data science projects to build your confidence and prepare you for an exciting career as a Data Scientist.
4. Mathematics for Data Science Specialization
Behind the various standard models and constructions in Data Science there is mathematics that make things work. It is important that you understand this in order to be a successful Data Scientist. This online Duke University certification introduces you to a wide range of mathematical tools to help you understand how they apply in Data Science. You will learn crucial topics such as Discrete Mathematics, Linear Algebra, Probability, and Calculus. To make your learning experience more practical and enjoyable, you will learn how to apply Python to solve problems that arise in Data Science.
5. Data Science Math Skills
By now, you probably know that Data Science courses contain mathematics – and there is no way of avoiding that! This Duke University course is designed to introduce you to the basic math you will need to be successful in pretty much any data science math course. It was designed for learners who already have some basic math skills but may not have taken pre-calculus or algebra. This course introduces you to the core math that data science is built upon. At the end of this certification, you will master the notation, vocabulary, concepts, and algebra rules that you must know as a data scientist before moving on to more advanced concepts.
II. Intermediate Data Science Courses
Now, you do have some experience. You are beginning to build some confidence in Python. You have solved some simple tasks and are excited about expanding your knowledge. Machine Learning is definitely what you should go for at this point. Here are intermediate courses worth considering:
1. Machine Learning Specialization
Created by leading researchers from the University of Washington, this online certification introduces you to the exciting and lucrative field of Machine Learning. You will go through a series of practical case studies and gain applied experience in key subjects of Machine Learning including Classification, Prediction, Clustering, and Information Retrieval. You will learn how to analyze large and complex datasets, build intelligent applications that can make predictions from data and create systems that adapt and improve over time. You will gain the following skills: Data Clustering, Decision Tree, Classification Algorithms, and Machine Learning.
2. Applied AI with Deep Learning
This online certification is part of IBM Advanced Data Science Certificate. It is designed to give you an easy access to the priceless insights into Deep Learning models used by experts in Natural Language Processing, Time Series Analysis, and Computer Vision among other disciplines. You will learn about the fundamentals of Neural Networks and Linear Algebra. You will also be introduced to popular Deep Learning Frameworks like PyTorch, Keras, DeepLearning 4J, TensorFlow, and Apache SystemML.
You need prior coding skills, preferably Python, as well as basic understanding of linear algebra to enroll for this program.
III. Advanced Data Science Courses
So you have a couple of years of experience under your belt. You have mastered Python and can apply data science to extract information. Now, it is time to consolidate your knowledge, put everything together and become an expert in Data Science. Well, here are the right courses for you:
1. Machine Learning course
At its very basic, Machine Learning is the science of getting computers to act without being explicitly programmed. In this Stanford sponsored course, you will learn about the most effective machine learning techniques and practice their implementation by yourself. Besides the theoretical underpinnings, you will also gain hands-on knowledge you need to powerfully and effectively use these techniques in solving new problems. Finally, you will learn about the Silicon Valley’s best practices in innovation as far as machine learning and Artificial Intelligence is concerned.
2. Deep Learning Specialization
If you are ready to break into Artificial Intelligence, this online certification course is the right fit for you. Deep Learning is one of the most sought after skills, and this program will help you become good at it. You will learn the foundations of Deep Learning, learn how to build neural networks, and lead how to successfully execute machine learning projects. You will learn about Adam, Convolutional networks, LSTM, RNNs, BatchNorm, Dropout, and Xavier/He initialization among other concepts. You will work on case studies from autonomous driving, healthcare, music generation, sign language reading, and natural language processing.
3. Advanced Machine Learning
Offered by Rhode University, this online certification is designed to introduce you to deep learning, natural language understanding, reinforcement learning, Bayesian methods, and computer vision. Upon successful completion of this program, you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
That’s all for now!
We hope you have found something interesting for your learning needs. Happy learning