what are data science course

Full Answer

What are some of the best data science courses?

Here is our selection of the Best Data Science courses and programs for 2021 ... Learners should have a basic working understanding of Python or at least some programming experience. Statistical analysis, machine learning, information visualization ...

Which colleges offer courses in data science?

• MS Computing and Data Analytics: Saint Mary’s University
• MS Big Data Analytics: Trent University
• Masters in Computer Science (Big Data Specialization): SFU (Simon Fraser University)
• Masters in Data Analytics: University of New Brunswick, UWO, and Acadia University.

What are the educational requirements for a data scientist?

• Advanced Degree – More Data Science programs are popping up to serve the current demand, but there are also many Mathematics, Statistics, and Computer Science programs .
• MOOCs – Coursera, Udacity, and codeacademy are good places to start.
• Certifications – KDnuggets has compiled an extensive list .

More items...

Why to become a data scientist?

• Understanding the model in and out. The team needs to know data structure, parameters and schemas. ...
• Understanding the parameters they're working with. ...
• Understanding how the algorithms work. ...
• Collaborating closely. ...
• Knowing if the results are accurate. ...

What is data science?

Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are th...

Can I learn data science online?

Computer science is one of the most common subjects that online learners study, and data science is no exception. While some learners may wish to s...

What are examples of jobs that use a data science background?

In today’s era of “big data”, data science has critical applications across most industries. This gives students with data science backgrounds a wi...

What online data science courses are available?

Coursera offers Professional Certificates, MasterTrack certificates, Specializations, Guided Projects, and courses in data science from top univers...

What are trends in online degree programs in data science?

More and more students are looking to pursue entire degree programs in data science online. There are several reasons for this, starting with cost:...

What skills or experience do I need to already have, before starting to learn data science?

People who are starting to learn data science should have a basic understanding of statistics and coding. There’s no prior experience necessary to...

How do I know if learning data science is right for me?

Analytical thinkers who enjoy coding and working with data are prime candidates for learning data science. Data scientists spend most of their time...

What are common career paths for someone in data science?

The most common career path for someone in data science is a job as a junior or associate data scientist. After gaining some work experience, the n...

What topics can I study that are related to data science?

Learners interested in programming self-driving cars, speech recognition, and web searches should consider topics exploring machine learning and de...

What is a career learning path?

A career learning path is a set of curated courses that together comprise a learning plan for achieving the skills necessary to land a specific rol...

How do you choose the courses for each career learning path?

We work with experts in a given career field to understand the skills needed, and with our own career and content teams to ensure we're recommendin...

How long does it take to complete a career learning path?

Time to completion varies based on your schedule and experience level, but based on the experience of other learners, you can expect to complete al...

Do I need to take these courses in a particular order?

We suggest following courses in the order recommended in the path especially if you’re just getting started in the field. Depending on how much exp...

Can I subscribe to a career learning path?

If you are interested in taking multiple courses in a career learning path, we recommend Coursera Plus, a subscription plan that provides unlimited...

Will I earn a certificate or credit for completing a career learning path?

You will earn shareable Certificates for each course, Guided Project, Specialization, or Professional Certificate that you complete as a part of a...

What happens if the career that I am interested in does not have an associated career learning path?

We’re working hard to develop more career learning paths based on the needs of learners on Coursera and we’d love to get your feedback. Please fill...

Case Studies in Functional Genomics

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Advanced Bioconductor

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale...

Introduction to Bioconductor

The structure, annotation, normalization, and interpretation of genome scale assays.

Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences.

Statistics and R

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

High-Dimensional Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Statistical Inference and Modeling for High-throughput Experiments

A focus on the techniques commonly used to perform statistical inference on high throughput data.

About this Course

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year.

Offered by

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements.

Defining Data Science and What Data Scientists Do

In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis.

Data Science Topics

In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing at New York University, as he talks about data science and the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science.

Data Science in Business

In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable.

What is data science course?

It aims to enable learners with a basic understanding of programming to effectively manipulate and gain insight into data. It comprises of 5 courses that delve into data science methods, techniques and skills using Python programming language. It is expected that learners have a basic working knowledge of Python or at least other programming background. This program focuses on the application of statistical analysis, machine learning, information visualization, text analysis and social network analysis. It teaches popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into data. Specifically the 5 courses are – Introduction to Data science in Python, Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python. Learners need to complete all five courses to earn the specialization certificate.

What is a data science specialization?

This Data Science Specialization is a 10-course introduction to concepts and tools that you’ll need throughout the data science pipeline and is taught by renowned professors of Johns Hopkins University on Coursera platform. It aims to develop capability of learners to ask the right kind of questions, manipulate data sets, make inferences and create visualizations to publish results.

What is a nanodegree in Udacity?

Udacity offers world-class Nanodegree programs in its School of Data Science. No matter what the skills and experience level of an individual, these programs offer a point of entry into the world of Data. Whether one wants to master data science programming with Python, R and SQL or become a data analyst or learn business analytics, there is a program on offer to build the relevant skills.

What is Coursera online?

Coursera offers data science courses, specializations, professional certificate programs, and online degrees from top universities and data science schools all over the world. It has also partnered with industry leaders like IBM to offer programs that impart required data science and machine learning skills to prepare learners for real world. Their catalogue includes a wide range of popular online courses in subjects ranging from foundations like Python and R programming to advanced deep learning and artificial intelligence applications.

What is a data analytics certificate?

This Data Analytics certificate program by Google on Coursera provides learners all the skills they need to find an entry-level job in the field of data analytics. They learn how to collect, transform, and organize data in order to help draw new insights, make predictions and drive informed business decisions. The program also covers the platforms and day-to-day tools used by a data analyst such as, Spreadsheets like Excel or Google Sheets, SQL for data extraction, Tableau for data visualization, R programming, RStudio, and R packages including the Tidyverse package.

What is machine learning?

Machine Learning is a very broad subject and becoming an expert in this field can be very challenging. This Data Science Machine Learning course on Udemy provides a clear pathway into the world of machine learning so participants can learn complex theory, algorithms and coding libraries in a simple and effective way. The course provides instruction in both Python and R programming languages, which is very distinguishing in itself. It has around 100,000 5-star ratings and more than 665,000 students enrolled making it the most popular Udemy Data Science course.

What is the best skill to have as a data scientist?

Being able to retrieve and work with data is a very important skill for a good Data Scientist. This means one has to be well versed in SQL, which is the standard language for communicating with database systems. This course created by University of California, Davis and hosted on the Coursera platform, aims to give learners a primer in the fundamentals of SQL and working with data so that they can begin analyzing it for data science purposes.

What do data scientists use to make predictions?

Data scientists use probability, statistics, mathematics, and computer science to make predictions about complex systems. Gaining experience as a data analyst is excellent preparation for success as a data scientist.

Why do we need a data analyst?

Data analysts are highly valued for their ability to help companies make data-driven decisions by translating data into insights using SQL, Tableau, and more. Becoming a data analyst is an ideal way to launch and advance a data science career.

Curriculum

According to the U.S. Bureau of Labor Statistics, data science is o ne of the fastest-growing careers in the country, projected to grow by more than 30% over the next decade.

Career services

Career prep at BloomTech starts on day one. You’ll complete career development assignments throughout your program to help you define your career plan, optimize your job hunt, practice your elevator pitch, and put your best foot forward. ‍ When it’s time to start job hunting, you won’t be navigating the process alone.

Meet some of our Data Science instructors and staff

"My experience teaching Data Science at Bloomtech has been extremely rewarding.

Class Schedule

Our programs are rigorous. Every day, you will spend 5 to 7 hours outside of the mandatory live class studying and coding. Although our flexible schedule is designed to fit into your life, you must invest about 40 hours a week, including:

Upcoming course start dates for Data Science

Live classes are taught Monday through Thursday from 9am to 11am Pacific. Completion of our Orientation course is mandatory.

Learn about our tuition options

BloomTech provides a direct path to a high paying tech job—without the time commitment and financial risk of traditional higher education.

Requirements

BloomTech is fast-paced and immersive. It’s important to ask yourself, “Is this right for me?” Before you apply, make sure all of these statements are true for you.

What is a Coursera specialization?

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization.

How to learn machine learning?

What you will learn 1 Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists 2 Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio 3 Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems 4 Write SQL statements and query Cloud databases using Python from Jupyter notebooks

How to describe the role of data science?

1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. ...

What is a one module course?

This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.

What is the hottest technology of the digital age?

Data Science is the hottest technology of the digital age. Businesses are going through a digital transformation like never before. It is now believed that traditional skills are soon going to be replaced with digital skills.

Is it time to learn data science?

The demand for roles like data scientists, data analysts, and data engineers has increased considerably, making data science a popular career. Therefore, now is the time to learn data science.

The Ultimate List of Courses for Data Scientists

Ten years ago, you probably would have struggled to find online courses to learn data science. Now, you will face a different problem: there is just too much content online, and you don’t know what to choose.

Statistics

This is the most basic course on statistics I could find online, and will really start from scratch, going through the concepts of median and mean, for example. Do this one if you know almost nothing about statistics.

Coding

For coding, video lectures won’t be of much help. Instead, I recommend you try a coding platform, such as Codeacademy. They have coding learning tracks for all the main languages you will need, and a lot of stuff dedicated exclusively for data science and data analysis.

Data analysis and visualization

This is a professional certificate offered by Google, comprising 8 courses that will teach you a lot about data analysis and visualization, covering topics from data preparation to how to ask the right questions, and ending with a capstone project. If you are taking only one specialization on the subject, this should be it.

Machine Learning

One of the best courses I have ever taken on Machine Learning, it will go into the details of the main ML algorithms, including the math behind them. Andrew Ng will actually teach you how to code them from scratch using Matlab, which I found painful and instructive at the same time (as is often the case).

Data engineering and MLOps

A basic 5-course specialization offered by IBM, this one will start with an introduction to data engineering, and then cover relational databases and the use of SQL and Python for data science. Since it will cover some of the basic Python content (such as data structures), it might be a bit redundant if you are already familiar with it.

Conclusion

Use this list as a guide if you are drowned in content overload and don’t know where to start. You can also save for later, and come back to it when you need studying material for a specific topic.