Data is a crucial part of today’s business world. Contrary to traditional times, we generate quintillion bytes of data every day which is then collected, cleaned, stored, processed, and visualized. This process where raw data is taken and analyzed to uncover hidden trends and patterns and make more informed decisions is called data science. Going through the entire data science lifecycle requires many advanced mathematical, statistical, and computational techniques. The insights gained at the end can be used to understand the customer demographics better, estimate profits, personalize customer services, identify a useful evaluation metric, or generate more revenue.
The number of concepts to be learned in data science can be quite overwhelming for some professionals. So we would recommend exploring online courses websites and enrolling in a reliable training course to build a strong foundation in data science. There is a high possibility that you may be quite busy in your job and didn’t get time to research the best online course available that fulfills all your learning needs. So, in this article, we have listed some of the top data science online courses that you can take to step into this field confidently.
Read on to find out more!
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Data Science Job Guarantee Program
Training Provider – Simplilearn
As the name suggests, this data science program not only helps you dive deep into the subject but also comes with a placement guarantee. Throughout the six months of learning (10 to 15 hours per week), you will become familiar with a number of concepts like statistics, machine learning, data analysis, R programming, deep learning, SQL, data visualization, Python programming, and so on. As part of practical learning, you will get to work on over 30 industry-oriented projects and over 10 cutting-edge tools and technologies like Tableau, NumPy, SciPy, and Python.
Simplilearn offers an interactive learning model with integrated labs and LevelUp sessions by Andrew McAfee (Principal research scientist at MIT). There is a money-back guarantee if you don’t get a job within 180 days of your graduation.
Data Scientist with Python Career Track
Training Provider – Datacamp
If you are thinking of enrolling in this course, then get ready to navigate through 23 courses with 88 hours of learning content and 6 projects. You will understand how Python is used to import, clean, manipulate, and visualize data and explore some of its popular libraries like Matplotlib, Pandas, NumPy, and more. Further, you will work with real-world datasets to grasp the statistical and machine learning techniques to train decision trees and use natural language processing.
Through its industry projects, you can apply your coding skills to a wide range of datasets and solve real-world challenges in your browser. You will receive real-time feedback when you complete hands-on exercises and get rewarded with points every time you make progress.
Data Science Specialization
Training Provider – John Hopkins University on Coursera
Get a ten-course introduction to data science and launch your career in this domain with this Data science specialization. Learn how to use R programming to clean, analyze, and visualize data, and explore the entire data science pipeline from data collection to publication. Further, the instructor will take you through using GitHub to manage data science projects and perform regression analysis, least squares, and inference using regression models.
This 11-months Specialization (7 hours per week) involves the tools and concepts that are useful throughout the data science pipeline. Moreover, there is a Capstone project where you will apply the skills learned by creating a data product using real-world data.
Become a Data Scientist Nanodegree Program
Training Provider – Udacity
Enroll in this Nanodegree program if you want to learn how to run data pipelines, design experiments, create recommendation systems and deploy solutions to the cloud. You will become familiar with the data science process and understand how to build interactive data visualizations and communicate with different stakeholders. The program gives you a chance to build an open-ended data science project so that you can leverage what you have learned throughout the training program.
Udacity offers career services to the learners as well, including resume support, LinkedIn profile optimization, and GitHub portfolio review. The curriculum is cocreated with industry experts who will also review your project and provide valuable feedback.
Become a Data Scientist Learning Path
Training Provider – LinkedIn Learning
This career track focuses on three areas – a foundational understanding of statistics, the many categories of data science job specialization, and how to source, explore, and communicate with data through graphs and statistics. The program helps you learn the fundamentals stages of data science work, along with systems engineering, machine learning, and data mining. As part of the learning path, you will get access to 12 courses with a total of 20 hours of content.
Some of the important topics covered in the program are non-technical skills of data scientists, certifications in data analytics and data science, tools and techniques of modern data science, statistics foundations, probability, storytelling, data governance, exploring and describing data.
We hope that you have got a clear understanding of the options available at hand. So get ready to enroll in a suitable course and polish your data science skills.