Accelerated IBM Data Analytics Professional Certificate
Kickstart your career in the growing field of data analytics with a program designed by IBM and taught by Nexford's expert mentorship. Master Excel, Cognos Analytics, and R programming in under 3 months, and emerge fully prepared for entry-level roles.
Pre-requisites: Beginner level. No previous experience required.
Start date: Begin November 1 for just .
Accelerated IBM Data Analytics Professional Certificate
Duration
Complete an IBM data analytics certificate in as little as 3 months.
Effort
10 hours per week which fits into your schedule so you can prepare for your future at your own pace.
Format
100% online with engaging study groups and mentorship sessions so you stay inspired and on track for success.
Cost
Pay tuition monthly at a cost of , or prepay for the entire course and secure a 20% discount.
The global demand for data professionals is surging
According to the World Economic Forum, new job openings in data analytics are projected to rise by 58%, and 80% of businesses plan to integrate big data analytics within the next five years. It is predicted that there will be a 30-35% increase (1.4 million) in demand for roles such as Data Analysts and Scientists, Big Data Specialists, Business Intelligence Analysts, etc.
Why choose Nexford for your Professional Certificate
Expert-Designed Curriculum
The IBM data analytics certification is designed by seasoned experts at IBM and delivered with the academic rigor and attention to practical application that Nexford is renowned for.
Unparalleled Mentorship
At Nexford, you're never alone in your learning journey. You'll receive continuous guidance, insights, and support from our experienced mentors who make sure you grasp even the most complex data science concepts with clarity.
Success-Oriented Approach
Our dedicated success advisors are there every step of the way, offering guidance, resources, and strategies to ensure you reach your career and learning objectives efficiently.
Local Currency
We understand the varied economic landscapes our students come from. That's why Nexford allows payment in your local currency, easing the financial journey for our diverse global learners.
Location-Free Career
Our IBM data analytics certificate prepares you to thrive in data science roles, whether local or remote, ensuring you're competitive in job markets irrespective of your geographical location.
You will learn
Practical Skills
Acquire the latest practical skills and knowledge that data analysts utilize daily to meet the demands of their roles.
Data Analysis with R
Learn how to conduct statistical and predictive modeling using R, R Studio, and Jupyter, preparing you for in-depth data analysis.
Excel Expertise
Hone your abilities in Excel for data wrangling, pivot table manipulation, data mining, and chart creation, equipping you for versatile data analysis tasks.
Effective Data Communication
Master various data visualization techniques, including interactive dashboards using Cognos and R Shiny, to clearly and effectively present your analytical findings.
Accelerated IBM Data Analytics Professional Certificate: Courses
Learn about the field of data analytics and different roles within the industry, such as data engineer, data analyst, and data scientist. You will familiarize yourself with the data ecosystem and gain an introduction to Big Data platforms, like Hadoop, Hive, and Spark.
Gain a working knowledge of Excel and how to use it for data analysis. This course will teach you how to perform data wrangling and cleansing tasks with functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables.
Learn how to visualize data without having to write any code, using Excel and IBM Cognos Analytics. This course will cover basic charts, such as line and bar charts, and more advanced visualizations, such as Treemaps, Scatter Charts, and Histograms. You will also learn how to use business intelligence (BI) tools like Cognos Analytics to create interactive dashboards that demonstrate insights gained from data analysis.
This course will assess your learning from the Data Analysis and Visualization Foundations segment of this program. It contains a graded final exam that should take an hour or less, and covers the first three courses in this program.
R is a widely-used programming language for statistical computing and graphics. This course will introduce you to the basics of the R language and how to use it to manipulate data and implement fundamental programming tasks.
Much of the world’s data is stored in databases, and SQL (Structured Query Language) is a language used for communicating with those databases. This course will give you a working knowledge of databases and SQL, a requirement for all data scientists. An IBM digital badge can be earned on successful completion of this course.
Use the power of R to transform your data into meaningful insights. With this practical course, you'll learn how to tackle real-life problems and find the answers you need to achieve your goals. From data wrangling to performance tuning, you'll gain essential skills in exploratory data analysis and modeling.
The course will teach you how to use two data visualization systems for R – Grammar of Graphics and Leaflet. You will expand on that data visualization knowledge by learning how to create and publish attractive and insightful interactive dashboards with R Shiny.
In this capstone course, you will apply the skills and techniques learned in this program to a practical project, in which you assume the role of a data scientist who must collect and analyze data from multiple sources. On completion, you will have a data analysis report and executive summary for your portfolio.
Gain skills to strategically search for a job that aligns with your career goals. This proctored course introduces the knowledge and techniques to prepare, plan, and execute a modern job search in a global market. Learn how to develop a personal brand; prepare an effective resume or CV, cover letter, and LinkedIn profile; build a strong professional network; and successfully interview for roles that can help you launch your future career.
In-Demand Career Options in Data Analytics
Data Scientist
Data Architect
Data Analyst
Data Engineer
Business Intelligence Analyst
Accelerated IBM Data Analytic Professional Certificate FAQ
What background knowledge or experience is necessary for this program?
None! This is a beginner-level program that starts from ground zero. Whether you’re completely new to the job field or have had some exposure, this program is right for you.
What programming languages will be taught in this course?
This program teaches the open-source programming language, R, as well as how to use Excel for data analysis. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. Python is another language commonly used in data science and analysis, but it is not included in the curriculum. Learners are encouraged to explore Python after completion, or even take one of our Nexford Professional Certificates that covers Python, if they'd like to continue their learning journey.
What can I do upon completing my professional certificate program?
Completion of this program will earn learners an IBM Data Analytics with Excel and R Professional Certificate, which qualifies you for an entry-level role in job fields like data analytics and data science.
Can I get college credit for completing this program?
Yes. This certificate program has secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 15 undergraduate college credits for completing the program. Acceptance of these credits toward a degree is dependent on the university, but Nexford will accept these credits toward a BBA or any undergraduate-level degrees added in the future. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.