Data is the very life breath of data analytics and is being generated by the moment. Though it sounds easy, handling data can run into a variety of complex issues during its cleaning and formatting, preparation and merger, and the final inferential steps of gainfully using data. One does not need a technical degree to choose this lucrative field to further your career. However, it is a must that you do a Data science Course from a reputed institute like Imarticus to get the technical expertise and certification which is a validation of being job prepared. You will need an eclectic mix of personal traits, technologically sound knowledge of programming languages and a data science tutorial to set you on the right track.
Let us learn a little more about where data analytics and trend spotting led to success stories in a big way. The CIOs at IDG connect recently shared these examples to learn from and motivate others with.
Data Science Success Stories
Table of Contents
• ARC tackled change and new data-management using trending technology.
• Shell uses data analytics to predict when and where their oil-rigs and machines could fail through constant monitoring and predictive analysis.
• Shrimp farmers have a better life thanks to Cargill’s analytics.
• Dr Pepper Snapple Group used algorithms and machine learning to grow.
• TD Bank created lakes of data and used the foresight effectively for growth.
• The disrupt at Bechtel enabled the setting up of its Big Data Center of Excellence.
• Merck also used its analytics and data optimally while Monsanto used an ML algorithm to help optimal planting.
• The ML algorithm of RRD helped it identify new business opportunities.
• Predictive Analysis was the foundation of Pitt Ohio’s success.
The data scientist is one of the most sought-after trained experts who is paid very handsomely and never suffers from want of job demand says the business review by Harvard. A data scientist is an all-in-one person who is the go-to person for data analytics and is a strange mix of computer and databases scientist, math expert and trend spotter with the technical expertise to handle large volumes of data from different sources, clean it, and draw complex inferences from it.
Step-by-Step Data Science Tutorial
A step-by-step data science tutorial to succeed in a data science career is detailed below. The best way to achieve all that is laid out in the tutorial is to do a data science course.
• Do a Data science Course to learn about the data sciences foundational concepts like ML, statistics, algebra, calculus etc. A data scientist needs more than computer science and programming skills because he has to visualize the data, spot trends, and make inferences from them.
• Learn about the types of data and databases as this forms the foundation and lies at the very heart of your career. More the better!
• Learn coding which forms the building pillars for your career. You need to have proficiency, knowledge and be adept at coding efficiently for success in this career.
• Practice coding and build your projects with the real-time practice of your coding skills. The more mistakes you make in the beginning the better you get at coding and programming with it.
• Use bigger databases and compatible software to practice on. Hadoop, MapReduce and such can help you deal with segregated and non-labelled data too. Data from various sources, merging, cleaning and preparing your data is of utmost importance.
• Get proficiency in data-munging which means transforming the data into a well-analyzed format which is easy to read, study and analyze further.
• Don’t stop learning ever. The evolving fields of data and data analytics need constant upgrades, tweaks and techniques to handle them. Curiosity and never-ending learning from the peer group will make an ace of you.
• Develop personal presentation traits and effective communication skills. These are needed to infer, justify based on data and provide the results in the form of gainful insights. Feedback and constructive criticism should always be welcome. They improve your skills.
• Get on GitHub and participate in hackathons like Kaggle, DataHack, etc. Also, update your portfolio with your projects undertaken.
• Look for project opportunities and suitable openings to display your data science tutorial portfolio of projects and get ahead of the others.
The most popular way to achieve your goal is to enrol in a Data science Course. Do so with a reputed institute like Imarticus who have years of industrial experience in training data scientists and analysts with the nest courses. One of the huge advantages of doing the course with them is that you get sufficient hands-on experience, a globally accepted curriculum and excellent learning support in the form of certified trainers, ample projects in real-time industry-relevant projects, industry mentors and an excellent peer group.
The following modules will be covered comprehensively in most courses and form essential skills for a data engineer or scientist.
• Basic concepts and data-management fundamentals.
• Algorithms that involve complex mathematical fields like differentiation, calculus, linear algebra and others.
• Statistical and data modelling.
• Concepts and methodology of Data Sciences.
• Data cleaning, scraping and mining.
• Data Analysis including logistic and linear regression, decision trees and such concepts from statistical analysis.
• Machine Learning.
• Data Engineering
• Artificial Intelligence.
• Programming languages like Python, SAS, R, SPSS, Stata, Minitab, Matlab and such.
Relax you only need working knowledge to get by and help you understand the underlying concepts, visualize your data and then apply the appropriate tools to get the right inference and especially when it comes to interpretations and predictions.
Gathering and possessing a data scientist’s skills is no mean task to achieve. It gets better with experience and so does the payouts. The job interview is one area where you need skills not taught formally in any course and is totally dependent on yourself and how you stand out from the competition using your technical and communication skills. The data science tutorial course at Imarticus and their certification are coveted and a great validation of your resume, knowledge of practical implementations of learnt skills. You just need dedication and perseverance to settle down in this high paying career.