Data science is one of the fastest-growing fields in current times, along with other key technologies such as big data, artificial intelligence, machine learning, and deep learning. Applications, gadgets, and tools are being developed at an extremely rapid rate using said technologies every now and then. Be it banking, trading, shopping, education, training, consultation, or almost anything; there are applications, gadgets, or tools available for all. The entire development has made life simple for everyone, now we can get information sitting at home for almost everything. We may even predict future events to some extent, make informed decisions, and avoid future problems.
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All this is possible primarily due to advancements in big data and data science which are core technologies among all other key technologies available currently. It is because all the other technologies depend heavily on data availability and processing to arrive at some meaningful conclusion. Big data allows us to collect and store enormous amounts of data while data science helps us to process it in a planned way based on the requirements. Other technologies do play an important role in the development cycle; however, data science and big data play a very crucial role in overall development.
Data being at the core of all development, data science is one key role that helps professionals to process raw data to gain insights. Data science is a very popular role and is in high demand due to its importance in overall development. According to an article on Forbes, IBM estimates that data scientists’ demands will increase by 28% by 2020. Further estimates say that 59% of all data analytics job demand is in Professional Services, and IT, Finance and Insurance. The data science role requires a professional to work with other software developers to find solutions to help customers. Overall data science professionals need to gather, process, and summarise data with all other experts to arrive at possible solutions or help to predict future events.
Data science is a research-based role that needs strong technical depth to clearly understand the problem statement or development requirements. Along with statistical, mathematical, logical, and analytical skills data science professionals also need to develop good scripting skills, database handling, and big data techniques. Developing key skills in data science can be accomplished by undergoing a good online training course. Various data science courses In Chennai are available online to take you to the next level or even make you a data science expert. Some of the training providers even offer certifications at the end of the training course. Certification from a reputed training provider helps professionals to score brownie points in interviews.
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Best Data Science Programs Online
Here is a small list of some of the good online data science training programs with brief explanations. For complete details please visit the website of course providers.
Simplilearn’s Data Science Master’s Program
This program is offered by the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018) i.e. IBM in alliance with Simplilearn. This program is fabricated to intensify the learning for data science students. The program is forged by experienced industry experts with the intention of delivering highly skilled data science professionals to meet complex industry requirements. Find below the well articulated course list for the complete program including elective courses (last three).
- Data Science with Python
- Data Science with R
- Tableau Training
- Machine Learning
- Big Data Hadoop and Spark Developer
- Data Science Capstone
- SQL Training
- R Programming for Data Science
- Python for Data Science
With a capstone project at the end, you may apply your learning gained during the courses. The project prepares you to face real-life challenges in data science.
Upon completion of the course, you will earn certificates from both Simplilearn and IBM. Certifications are very helpful from a career perspective specifically from prestigious institutions. They give you an upper hand in interviews and increase your chances of hiring.
Data Science Specialisation by John Hopkins University – Coursera
This program is offered on the Coursera platform with a complete duration of 11-month considering 7 hours per week study time. This program is suitable for students having basic python knowledge or scripting background and familiarity with statistics. This program prepares you for every aspect of data science pipelines, from working out the right requirements to making inferences and reporting. It covers all tools and concepts required for data science. The complete list of courses covered in the program is listed below
- The Data Scientist’s ToolBox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducibility Research
- Statistical Inference
- Regression Model
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
Complete Data Science Bootcamp – Udemy
This course is available on the Udemy platform and intended for all beginners or experienced individuals looking to hone up Data Science skills. This course is drafted to equip you with the entire data science toolbox in the minimum duration possible. The course duration is very short and approximately lasts for 29 hours. All training is provided in the form of on-demand video including 476 lectures, 63 sections. This course covers topics such as Understanding of the data science field and the type of analysis carried out, Statistics, Mathematics, Data Visualization, Python, Applying advanced statistical techniques in Python, Machine and Deep Learning. It is advised to go through the training topics listed in the order specified on the website to expedite the learning process.
Become a Data Scientist – Nanodegree Program – Udacity
The program is outlined for individuals looking to advance their career to the next level by gaining real world data science experience. The program is offered in collaboration with multiple organizations such as IBM Watson and many more. The total duration of the program is approximately 4 months considering 10 hours a week of dedicated training. The training program will enhance your learning on data pipelines, solution deployments on cloud and design experiments. You will go through the following courses during the program.
- Solving Data Science Problems
- Software Engineering for Data Scientists
- Data Engineering for Data Scientists
- Experiment Design and Recommendations
- Data Science Project
Since it is an advanced level program, you need to have prior experience in programming with python and SQL, machine learning basic concepts, mathematical concepts such as probability, linear algebra, calculus and statistics.
Final Words
Data Science is at the forefront of data-driven roles and in high demand. Data science is a very useful and challenging role due to its intrinsic research-based nature. Professionals need to develop strong fundamentals and in-depth technical understanding to prosper in the data science role. The role requires extensive exploration of data trends and patterns for arriving at possible inference. All this may enhance the difficulty for one to learn all the required skills on their own. It is imperative for professionals to join any online training course with a reputed training provider to expedite their learning.
