Data science is not merely a buzzword at present, many technological advancements taking place today are somehow related to it. Whether you are fascinated by innovations like driverless cars, drones, facial recognition software, or virtual assistants and product recommendation engines on eCommerce sites, data science is working behind all of them to give you a rich experience. Broadly speaking, data science is a field that focuses on gaining valuable insights from a massive amount of data by uncovering hidden trends from it. As the data is in raw format, the process includes data collection, cleaning, analyzing, modeling, and finally visualizing so as to identify important correlations that can be shared with the business leaders to make effective decisions.
In this competitive edge, companies wish to stay ahead by leveraging the power of data science to make informed business decisions and achieve customer satisfaction. The job opportunities in data science have increased dramatically over the past few years. Many professionals are getting attracted to this challenging career domain and finding ways to start a career in data science. Those who are not much familiar with it often take a data science bootcamp to learn everything from scratch. There are many options when you look for online training providers that offer reliable and best-in-class courses in data science. Two of the top choices that you’ll come across are Simplilearn and Udacity. While both of them offer various courses on data science, we have selected the ones that are best suited for you and compared their features.
So, let’s dive in!
Simplilearn’s Post Graduate Program in Data Science
If you are looking for a training program that has all the features of an academic university postgraduate course along with industrial exposure, then Simplilearn’s data science boot camp is the best for you. If fulfill both your needs - offered in partnership with the renowned Purdue University and in collaboration with tech giant IBM. the program covers everything you need to know about data science like Python programming, machine learning, R language fundamentals, model building and fine-tuning, exploratory data analysis, and so on. Professionals are specifically attracted to the following benefits of the program:
• Achieve Purdue Post Graduate Program Certification
• Purdue Alumni Association Membership
• More than 300 hours of Applied Learning
• Integrated Labs to work on 25 real-world industry projects
• Certification from IBM
• Access to IBM Watson for hands-on training and practice using IBM Cloud Lite account
• IIMJobs Pro Membership for 6 months that will assist you in interview preparation and career mentoring
The 12-months (5 to 10 hours per week) comprehensive program teaches you everything from scratch, including fundamentals of statistics, probability, and programming. What’s more, you’ll be able to work on popular data science tools like NumPy, Pandas, IBM Watson, Flume, Sqoop, and Tableau. Here are the modules covered in the program:
• R programming for data science
• Data Science with R
• Python for data science
• Data science with Python
• Machine learning
• Natural Language Processing
• Tableau training
• Data science capstone
Data Scientist Program by Udacity
Udacity doesn’t offer an all-inclusive course but rather separate courses for gaining expertise in data science. Professionals aspiring to become data scientists are advised to take Udacity’s three courses:
• Become a Data Scientist Nanodegree Program
This 4-months program (10 study hours/week) helps you learn how to build data pipelines, design experiments, create recommendation systems, and deploy solutions to the cloud. The syllabus includes - Solving data science problems, Software engineering for data scientists, data engineering for data scientists, and Experiment design and recommendations.
• Become a Data Analyst Nanodegree Program
This is also a 4-months program that teaches you how to use Python, SQL, and statistics to find insights. Communicate crucial findings, and create data-driven business solutions. The syllabus includes - Introduction to data analysis, Practical statistics, Data wrangling, and Data visualization with Python.
• Programming for Data Science with Python
In this 3-months program, you’ll learn the fundamental data programming tools like Python, SQL, command line, and Git and how they solve data problems. The syllabus includes - Introduction to SQL, Introduction to Python programming, and Introduction to Version Control.
All these three courses offer real-world projects from industry experts, technical mentor support, flexible learning program, and personal career coach and career services.
Which Course Should I Choose?
Both Udacity and Simplilearn are well-known names in the eLearning industry. They have top instructors having rich industry experience for most of their courses. Selecting one will depend on your interests and learning needs. If you prefer taking an in-depth university program to build a strong foundation in data science, then you can enroll in Simplilearn. If you don’t have a year-long time to spare on training, then you can select any one of three courses of Udacity.
While we have listed all the important information above, you can also check for a complete syllabus as well as testimonials to understand whether learners are happy taking them or not. Also, if you are already working and know what skills your project demands, then you can map those skills with the offerings of both the programs and decide which fits best.
Whatever course you choose, learning data science will prove to be a wise career step. Companies are seeking certified data scientists who can effectively work on large datasets and identify meaningful insights from them so as to aid data-driven decision making. So, why not join the pool of certified data science talent and take your career to new heights.
