Data normally is utilized after collection and interpretation. Statistics helps in putting to use the exact methods to effectively present the data for accurate results. If you are well set in statistics and know how to use it in data science, then your data collection and actual data analysis would be perfect and the results can be effectively presented. This is where it is becoming critical in relation to data science.
The career prospects include; data mining engineer, statistician, enterprise architect, data architect, data scientist, data engineer, senior data scientist, and business intelligence analyst. A selected list of courses where statistics is related to data science is given below. Move through and pick out the one apt for you.
1. Data Training Designed for Your Team by DataCamp
When data is obtained in numerical format, it offers infinite potentials to understand the information out of it. The data processing can be best understood with the knowledge of statistics and turn out to be successful in it. According to studies, it shows that more than 2.5 quintillion bytes of data is being generated on a daily basis and is in the unstructured or semi-structured form. If we have to process the enormous data even more algorithms are necessary which is made possible through data analytics applications. Structured statistical and mathematical techniques on collected data for detecting the underlying patterns and for making predictions are accomplished with the help of data analytics. A variety of industries make use of the sector of data analytics taking into account the owing benefits it has to propose. It is actually a blessing to modern-day business activities by helping them to make smarter decisions. It helps improve efficiency and regulates hazards and thereby creating cost-effectiveness. Data analysts being one of the highest-paid careers, the importance and relevance of taking such a course don’t require another justification.
2. The Data Science Course 2021: Complete Data Science Bootcamp by Udemy
The training Bootcamp includes the following topics; mathematics, statistics, python, advanced statistics in Python, machine and deep learning. One of the exciting and attractive careers that suits the best in today’s world is to become a data scientist. The role is digital, programming-oriented, and analytical in nature. The heaving in the demand for data scientists makes them even more wanted in the career market. To acquire all the desired skills to outshine as a data scientist is not a cakewalk. Now several providers are coming up with courses, but most of them are highly expensive, and focusing only on specific topics and so connecting it with the rest of the areas would turn out to be difficult. Statistics is one of the significant among the topics coming under the multidisciplinary field of data science. Most of the topics are interconnected and require all the complementary information to get a thorough understanding which is achieved through the course turning you into a fruitful data scientist. They claim the course to be highly effective, time-efficient, and structured data science training from among those available online.
3. Executive PG Programme in Data Science by UpGrade
The PG program in data science has been considered as one of the best with competency standards and developed in association with NASSCOM. About six specializations are available to choose from. The support from the mentors and enthusiastic career support along with the acquiring of fourteen programming tools and languages are only some of the course specialties. The skills that are projected for acquiring include; Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, and Natural Language Processing. The career opportunities include; Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, and Decision Scientist. Those who are already in a profession like Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software and IT Professionals find it even more of a push for their career. Working professionals from anywhere in the world can opt for the possibility as it is ultimately for the working professionals. They also match with the required soft skills program and a complementary python programming Bootcamp.
4. Statistical Inference for Data Science Applications Specialization by Coursera
Statistics is the basic unit of mathematics in formulating a methodological analysis of data. Complex problems in the actual world are processed to make the work easy for data scientists and analysts to look for meaningful trends and changes in data. They make use of quantified models and representations for a given set of experimental data or real-life studies. The foremost benefit of statistics is that data is accessible in an easy way. The statistical skills for data science are crucial and the program helps to master the necessary statistical information for data science. The probability theory in statistics, a broader range of the subject, introduction to the basics of statistics, and the theoretical aspects help to make the learner ready to perform fundamental statistical analysis of a data set in the R programming language. The course seems to be ideal for individuals with an extensive assortment of undergraduate instruction and specialized involvement in different subjects including statistics.
5. Probability for Data Science by Great Learning
A vital process behind the key discoveries in science, decision making based on data and predictions is what is statistics means. Various domains are available related to data science to help the learners take up any job in the data science domain and other related sectors. The instructors are the cream layer of academicians in data science along with most of the skilled industry practitioners from chief establishments that practice data science. They are sure to find attractive career options after successful completion.
6. Statistics for Data Science by Great Learning
The approximate salary of a data scientist is $120,000 annually, and so it attracts individuals around the world to this course. But in order to excel in the data science world, one should be thorough with the concepts of statistics. The program follows a deep understanding method from the point of view of a beginner. The varied facades of statistics and concepts to solve a variety of problems based on data science are included under the topics. The application of these concepts to business hurdles is also emphasized during the course. The instructor is proficient in applied mathematics and so they would be able to lead the path in a meticulous manner.
7. Statistics Foundations: Understanding Probability and Distributions by Pluralsight
The world in which we survive is stuffed with data and someone should be there to find the logic of all this data. The course helps you to proficiently scrutinize data, articulate propositions, and commonly aim at discovering what the sea of data is disclosing and making sense. Data generation takes place on a large scale through various means; social networks, governments, consumers, and markets. The course program involves the learning of Statistics Foundations: Understanding Probability and Distributions, the basic concepts indispensable for understanding probability and statistics. The course starts off with an introduction to probability to set theory, a non-laborious introduction to probability, a summary of significant terms, and perceptions of numerical investigation. This is followed by the discovery of different statistical distributions, distinct and unceasing arbitrary variables, probability density functions, and moment generating functions. The course is almost completed when you start to use the important distribution measures such as mean and variance and determine topics of covariance and correlation. The course ends when you are able to see the data and reason about it in relation to evocative statistics and conceivable disseminations.
8. Intro to Inferential Statistics by Udacity
The course helps in making predictions from available data. Inferential statistics permit to induce inference from data that might not be proximately apparent. The course concentrates on enhancing the capability to advance suggestions and use public tests such as t-tests, ANOVA tests, and regression to validate your claims.
9. Statistics for Data Science by DataMites
The real-world inferences of the statistical tools ensure the accomplishments of statistical tools and excel in the concepts. It is the extraction of knowledge from data, utilizing concepts from mathematics, statistics, machine learning, computer programming. It has turned out to be one of the trendiest fields in business in today’s world. the course helps to learn about the practical implications of the statistical tools and concepts. the certifications from the providers are credited with IABAC (International Association of Business and Analytics Certification) and it is an international accreditation. Statistics help to solve difficult issues in the actual world aiding the data scientists and analysts to come up with evocative deviations in data by carrying out mathematical procedures. Case studies are also included in the course for improved comprehension and in having instantaneous understanding. Soon after the course completion, you will be able to join the high-end data scientists and decision-makers who are magnificently brilliant in this career with the benefit from the course to analyze and visualize the business data.
10. Statistics and Data Science by EdX
The course offers to master the basics of data science, statistics, and machine learning, analyzing big data and make data-driven predictions via probabilistic modeling and statistical inference, identifying and deploying modeling and methodologies for extracting meaningful information for decision making, developing and building machine learning algorithms to extract meaningful information from seemingly unstructured data, learning popular unsupervised learning methods, such as clustering methodologies and supervised methods such as deep neural networks.
The completion of the program prepares you for job responsibilities like Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, and Data Engineer. The specialized Micro Master’s program in Statistics and Data Science consists of four online courses and a practically invigilated examination makes you enough to provide with the basic understanding of methods and tools used in data science, alongside hands-on training in data analysis and machine learning.
Probability and statistics are also considered from the basic level itself and also to implement and experiment with data analysis and machine learning algorithms. This course as such is going to be an ultimate training platform to contribute sumptuously to the organization.