Data Analytics Certificate Courses

Created by the Queen Mary University of London, Data Analytics for Decision Making course is designed to help you learn the principles of data analytics. You will be working through programming exercises in Python to solve basic data analytics problems right beside world-leading experts.

As the world is becoming more data-driven, opportunities for individuals with analytical skills are growing. Employers are looking for such people who can make sense of data by gaining knowledge and insights from the datasets generated around us. To that end, the Data Analytics online course has been created for upcoming data scientists.

From healthcare to transport and shopping, Big Data is increasingly making its way into all businesses. Thus, workers with specialist data skills like data engineers and data scientists are highly in demand. The Data Analytics for Decision Making microcredential course will benefit candidates looking to boost their data science careers and gain data analytics certification.

The Analytics in Python course offered by Columbia University available on the edX platform is a well-structured programme equipped with course content designed by experts to enrich candidates with python programming knowledge. 

Data is an essential part of an organization and proficiency in programming is an important skill for effectively imparting knowledge and information from data. The course will help learners in developing an understanding of various topics like web scraping, web crawling, database basics, relational databases, data interchange formats of JSON and XML and text mining. Through the course, learners will gain knowledge to analyze and visualize data and will be introduced with the basics of SQL that they can apply in the programming area. 

The rapidly increasing demand for python as a programming language makes this course a one-time investment for professionals working in this field. The professionals can share the verified certificate provided towards the end of the programme in their LinkedIn profile for their professional benefits.

The Data Analytics online course by Metis aims to make you a proficient Data Analyst through a career-driven approach. During the course, you will explore the most common Data Analysis tools such as Python, SQL, spreadsheets, etc.

The Data Analytics online Bootcamp comes with two options – live online and online flex format. The former consists of interactive virtual classes with six months of duration. On the other hand, the online flex option is a 12-month-long programme with self-paced learning with one-on-one instructor support.

Throughout the Data Analytics online training by Metis, you will work on three professional projects. You will learn from presentations, social activities, video lectures, etc. Moreover, you will get access to an active community of Data Analytics students and professionals. 

The Data Analytics Bootcamp syllabus comprises three modules that explore a variety of data concepts in great detail. You will study exploratory data analysis, linear regression basics, feature engineering, data visualisation, ethics, etc.

The Criminal Justice Data Analysis is a twelve-week course for the professionals that have a background in Justice, solving and investigating crime and researching crime. It aims at advancing the knowledge of the participants in the field of crime with the help of Big data analytics. The course is an incorporation of various fields of subject matters like criminology, computer science, mathematics, ethics, psychology and more. 

The objective of the course is to help the police force and people in the field of Justice about the Criminal Justice Data Analysis. In recent times, it is seen that the best way to fight crime is through researching the various data. The vast amount of data that is available needs to be appropriately used and efficiently towards solving crimes. One of the main aims of the course is understanding crime and the behavioural pattern of the people that are involved in the crimes. 

This course can be helpful for Senior police officers, criminal justice officers and people working in the private agencies and anyone interested in this course. Research methodologies that will be taught in this class will be advanced. The participants will study ways of understanding the social and political environment. 

If you love numbers, are curious to learn to code, and possess strong communication skills, then a career as a data analyst is for you! Since the world is increasingly becoming data-driven and data is useless without the skill to analyse it, the demand for data analysts is soaring. 

Ironhack’s Data Analytics course covers all core concepts of data analytics within a span of 9 weeks if pursued full-time and 24 weeks if pursued part-time. Conducted by industry-best instructors, this in-person training programme can help you start a career as a data analyst even if you do not have previous IT experience. 

The Data Analytics course syllabus is divided into 3 Modules + 60 hours of online learning material as pre-work that will help you become familiar with the course content. The course will be taken in four languages, and at the end of the course, your final project will determine whether you qualify for an interview in the Hiring Week. 

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

The Introduction to Data Analytics certification course is an 8-week duration programme. The prerequisite for this course is students must be familiar with high-school-level linear algebra, and calculus. They must also know probability theory, statistics, and programming. The certification course offers an extensive curriculum that covers descriptive statistics, inferential statistics, regression, ANOVA, and machine learning.

The Introduction to Data Analytics certification by NPTEL provides an in-depth understanding of elements that will help in making the physical well-being and athletic prowess of individuals. The certification course helps students to get equipped with the required knowledge and skills to function effectively in the field. 

Also Read: Online Data Analysis Courses & Certifications

The Data Analyst Nanodegree Programme by Udacity has been designed to help you advance and refine your programming skills and to acquire the ability to work with messy and complex datasets. The programme curriculum covers Python and associated data analysis libraries such as NumPy. You will be working on multiple projects that will enable you to have an impressive experience portfolio.

Furthermore, the Udacity Data Analyst Course is crafted, keeping the interest and convenience of the students in mind. Thus, the self-paced learning course allows you to learn your convenience. You get access to a custom learning plan. The course allows you to master skills that are high in demand across several job profiles. This Nanodegree programme will help you climb the ladder of a successful career much faster. 

The Online Data Analyst Training by Udacity teaches you to prepare and manipulate data for analysis. Also, you will learn how to visualise and use your skills in data to tell a story.

As the name suggests, the Data Analytics online programme has been designed to give you a broad understanding of fundamental data concepts and data analytics. It's essentially an introductory course that will teach you how to interpret and understand data. 

The Data Analytics course is available in two formats, namely Accelerated and Part-time. However, there is no difference in the course fee. You will learn through a combination of inteModule ractive lessons and practical exercises. The course curriculum also features numerous portfolio-worthy projects for further hands-on learning. 

As the Data Analytics training progresses lesson by lesson, you will also get to work with various industry-leading and in-demand tools. In this way, you will learn how to analyse and organise data faster using relevant tools and tricks.

Finally, since all the classes for the Data Analytics course are conducted live and online, you can access it from anywhere in the world and learn comfortably. 

Data used to be a term that was associated with tech companies but not anymore. Data is now being used to transform businesses across industries. Organizations from a startup to large MNCs plan their business decisions based on insights gathered from available data.  As the significance of data analytics increases, it’s unsurprising that various researches indicate that many companies and businesses are equipping themselves to use their data resources for a better competitive edge in the market.

IIM Amritsar through its advanced data analytics certification course wants to prepare the students towards the rising field of data analytics. This course will help the students in securing a good position in the data analytics field. From analytic techniques to industry-standard tools, students will get to learn all the relevant knowledge about data analytics from the esteemed faculty of IIM, Amritsar during the course. After the course, students will be able to explore their career as Data Scientists, Data Analysts and other data mining related fields.   

In the Data Analytics Certification certificate course by IIM Amritsar, the students will gain extensive knowledge about Data Analytics and how it is applied in different fields. There are various tools and formulas to enhance your problem-solving abilities. This course provides the students with the capabilities to understand the needs of the organizations as well as the customers. 

Introduction to Data Analytics Certification explains every model and method with super clarity with the help of the different formulae and functions in excel. You are also going to know how to prepare the pivot tables and charts in excel. These functions are very much necessary in modern business activities, and hence they want to hire more professionals with a professional degree in this field. The two monthly certification programmes will make you learn the analytical concepts in an elaborate manner.

Introduction to Data Analytics Certification Course makes you aware of Data Analytics, the places where you can use it, and the practical implementation of every tool and technique. The direct lectures from the experts of IIM are a bonus in this regard. Data Analytics Certification certificate course by IIM Amritsar is an entirely online program with two months duration. 

The Data Analytics Foundations for Accountancy II certification course is 7 weeks one that is designed by the University of Illinois at Urbana-Champaign, and Coursera jointly. The university is a world-class researcher of teaching and has carefully designed this course for those who want an online mode where they can start learning instantly after submitting the fee. The course is best for people wanting to know about data analytics foundational concepts that are needed in accountancy.  

The Data Analytics Foundations for Accountancy II training is a self-paced programme where the students shall be able to review the materials that are covered each week, and also get a glimpse of the assignments that one will need to pass in order to successfully pass, and complete the course. The students also have an instructor Robert Brunner who will be there to assist in case the students face issues.

Jure Leskovec, Jeff Ullman, and Anand Rajaraman, professors at Stanford University, wrote the book Mining of Massive Datasets. They also happen to be the instructors for the Mining Massive Datasets programme, for which their book is the source material.

The Mining Massive Datasets certification syllabus corresponds to the CS246 programme at Stanford University. The major topics covered under the curriculum include algorithms for data streams, locality-sensitive hashing, MapReduce systems and algorithms, machine-learning algorithms, frequent itemset analysis, PageRank and web-link analysis, clustering, computational advertising, dimensionality reduction, social-network graphs, and recommendation systems.

The Mining Massive Datasets online course is a seven-week advanced computer science programme. The video lectures are in English, and you can study them in your time. English transcripts are also available to help you follow along. You need to spend anywhere between five and ten hours on the programme if you want to complete it within seven weeks. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.

Data science is one of the major industries of the world right now and it is continuously expanding through all sectors; an important one among these domains is applied Bayesian statistics. It has a wide use when it comes to data analysis and thus, constantly produces a need for fresh candidates to join the programme.

Applied Bayesian for Analytics is an Indian Institute of Management Bangalore-designed course that provides its students with all the essential insights and requirements from the Applied Bayesian for Analytics certification course. It teaches them all the founding topics of the industry, from parametrizations, and Monte Carlo methods to what difference it possesses compared to classical statistics and multilevel modelling.

Applied Bayesian for Analytics course will be mentored to the applicants in two different parts; one being the essential theoretical concepts and the other the empirical part of the domain. Through the first three weeks, applicants will attain the know-how of calculating posterior and prior aspects along with analytical skills while the latter part will give them a detailed understanding of computing Bayesian models. This online programme is a self-paced course and it can be taken by learners either in the paid mode or free mode. In the free audit mode, the candidates will be given access only for a limited period. 

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

The beginner-level Process Data from Dirty to Clean online course will help the students develop the skills required to be a data analyst. It is an online programme and thus does not limit the students with any time restriction. Students across the countries can apply for this course. The programme deals with the topics such as tools used in data analysis, cleaning and checking data using the spreadsheet and SQL. 

The Process Data from Dirty to Clean certification course also helps the students gain information regarding data verification. The course is provided in association with Google. The programme is free for all the participants if they learn from it in the audit mode. Since it is a beginner level programme, it does not require any specific academic eligibility, except the basic understanding of mathematics. 

The Process Data from Dirty to Clean certification programme can be completed in 25 hours. However, it can be pursued weekly according to the requirements of the student. At the end of the course, after the successful completion of all lessons and assignments, students get a chance to enjoy the benefits of professional certification.

The leading with data and analytics course is offered by Chicago Booth, the University of Chicago, School of Business in collaboration with Execonline in online mode. The course will help learners to develop critical and creative skills to frame a big data analytics project and make effective decisions that effectively give results without sacrificing speed and accuracy.

The training programme for leading with data and analytics course will be conducted entirely online, with English as a medium of teaching. The duration of the course will be six weeks. To finish the course modules, students will need to devote 5 hours per week. The course will be instructed by Sanjog Misra, Jean- Pierre Dube, Guenter J. Hitsch, and Devin G. Pope, the University of Chicago, School of Business. The course fee is $4,500 - $5,700 (USD). Get more details here.

The Applications of TinyML Online Course is an open online course that discusses the applications of TinyML language and its practical applications with regard to tiny or deeply embedded devices. The course is available on the HarvardX platform with the joint effort of edX and Harvard University.

The Applications of TinyML Training Course is taught over a period of 6 weeks with the help of online course materials and informative case studies. The practical-oriented course will provide students with valuable insights into one of the most accessible and fastest-growing areas of deep learning.

The Applications of TinyML Certification Syllabus is prepared in a way its beneficial for students trying to gain a professional certificate in machine learning. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University, and Laurence Moroney, Lead AI Advocate at Google. EdX gives two varied modes to take the self-paced course; verified and audit mode. The verified mode requires a course fee and the candidates will get unlimited access. In the audit mode, they can access it for a limited duration. 

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them. 

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data. 

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 24 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period. 

Offered by Duke University, and Coursera, the Business Metrics for Data-Driven Companies certification course is a 4 weeks online course. This programme is also the first part of the Excel to MySQL: Analytic Techniques for Business Specialization which takes 8 hours to complete. With this course, professionals will be learning to use, and make application of the different techniques of data analytics for all kinds of business companies to make them profitable.

Business Metrics for Data-Driven Companies training will help recognize the important, and critical metrics of business so that it can be differentiated from simple data. Also, this certificate course will let the participants get a proper picture of the vital roles of business data analysts, business analysts, or data scientists play in companies of different sizes. Finally, the certificate at the programme’s end will help to identify skills that are required for hiring, and then succeeding in the above high-demand roles.

The Intro to Data Analytics certification course is a one-month-long online programme designed to introduce you to the field of data analytics. It will teach you all the essentials with a blend of practice and theory. From day one, you will use your data analytics knowledge in practice. 

Throughout CareerFoundry’s Intro to Data Analytics online programme, you will study the whole data analysis process, from mastering the basics to exhibiting the outcomes of your analysis. Plus, you will get personalised mentorship. Your one-on-one expert tutor will provide you with valuable insights, tailored videos, and written feedback on everything you do.

During the Intro to Data Analytics online course by CareerFoundry, you will learn how data analytics helps businesses better understand their industry and audience. Moreover, you will explore how data is a potent tool to solve business challenges with intelligent solutions. The course, being result-oriented, requires you to deliver a data analysis.