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IBM Skills Network Team

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?

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Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?

This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.

The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a take-home challenges and get to practice completing them. Additionally, it provides information about the regular functions and tasks of data analysts, as well as the opportunities of the profession and some options for career development.

You will get guidance from a number of experts in the data industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned data analysis professionals share their experience to help you get ahead and land the job you want.

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What's inside

Syllabus

Build a Foundation
Your job search will be much more effective if you do some primary work before you begin. In Building a Foundation, you’ll learn how to clearly understand the jobs you will be looking for. You’ll learn how to write a basic resume and collect your previous work examples into a portfolio. You’ll also create some other materials that will be useful, such as a cover letter and an elevator pitch.
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Applying and Preparing to Interview 
Job Seeking and Interview Preparation helps you understand how to put yourself forth as a memorable candidate. You’ll get guidance on researching prospective companies and assessing job leads to sift out the ones you want to focus on. You’ll learn about rehearsing for interviews and why it can make a big difference in your performance. And you’ll learn ways to network and let people you meet help you find your ideal role.
Interviewing 
After you’ve attracted a company’s attention, it’s important to know how to follow through. The Interviewing module will guide you through the interview process from beginning to end. You’ll learn about common types of interviews and what to expect from them, including code challenges. You’ll also learn some crucial tips for making a great impression in a final interview and how to follow up so that you stand out from the crowd.
Course Wrap-up

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides detailed, step-by-step guidance on building a resume, portfolio, and other job-seeking materials
Offers practical advice on how to apply and prepare for interviews
Provides tips for networking and building relationships in the data industry
Features insights from experienced data analysis professionals
May require additional preparation for those with limited experience in data analysis

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analyst Career Guide and Interview Preparation with these activities:
Review resume writing skills
Improve the quality of your resume to begin the job search with a solid foundation.
Browse courses on Resume Writing
Show steps
  • Review online resources on resume writing best practices
  • Identify resume sections and their purposes
  • Write a draft of your resume
Practice solving code challenges
Prepare for potential technical coding questions that may appear during interviews.
Browse courses on Coding Challenges
Show steps
  • Identify a coding challenge platform
  • Select a difficulty level and start solving challenges
  • Review solutions and identify areas for improvement
Create a portfolio showcasing your data analysis projects
Demonstrate your skills and experience through a portfolio of completed projects.
Browse courses on Portfolio
Show steps
  • Select and gather relevant projects
  • Create a platform or website to host your portfolio
  • Describe projects, highlight your role, and include key metrics
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participate in hands-on data analysis workshops
Enhance your practical skills and learn from experienced professionals.
Show steps
  • Identify relevant workshops
  • Register and actively participate in workshops
  • Apply learnings and techniques to your job search
Attend webinars on job searching in the data industry
Gain insights and strategies from experts to improve your job search approach.
Browse courses on Job Searching
Show steps
  • Identify relevant webinars
  • Attend webinars and actively participate
  • Take notes and apply learnings to your job search
Attend industry conferences and meetups
Connect with professionals in the field and expand your professional network.
Browse courses on Networking
Show steps
  • Identify relevant conferences and meetups
  • Prepare an elevator pitch and conversational starters
  • Attend events and engage with attendees
Volunteer as a mentor for aspiring data analysts
Sharpen your skills by sharing your knowledge and supporting others.
Browse courses on Mentoring
Show steps
  • Identify mentoring opportunities through organizations or platforms
  • Prepare and deliver mentoring sessions
  • Provide guidance, support, and feedback to mentees

Career center

Learners who complete Data Analyst Career Guide and Interview Preparation will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use data to solve business problems, identify trends, and develop insights that drive decision-making. This course provides a comprehensive overview of the data analytics field, including essential job-seeking materials, interviewing skills, and a look at the regular functions and tasks of Data Analysts. By taking this course, you will gain the skills and knowledge needed to succeed in a Data Analyst role.
Business Analyst
Business Analysts work with stakeholders to understand business needs, identify problems, and develop solutions. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as a Business Analyst.
Statistician
Statisticians collect, analyze, interpret, and present data to inform decision-making. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as a Statistician.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as a Data Scientist.
Market Research Analyst
Market Research Analysts collect, analyze, and interpret market data to inform business decisions. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as a Market Research Analyst.
Operations Research Analyst
Operations Research Analysts use analytical methods to improve business processes and decision-making. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as an Operations Research Analyst.
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as an Actuary.
Financial Analyst
Financial Analysts evaluate and interpret financial data to make investment recommendations. This course provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions. By taking this course, you will gain the skills and knowledge needed to succeed as a Financial Analyst.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful for Database Administrators, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Data Engineer
Data Engineers design, implement, and maintain data pipelines and infrastructure. This course may be useful for Data Engineers, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Computer Scientist
Computer Scientists research and develop new computer technologies. This course may be useful for Computer Scientists, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to provide insights to businesses. This course may be useful for Business Intelligence Analysts, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for Project Managers, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.
Product Manager
Product Managers manage the development and launch of new products. This course may be useful for Product Managers, as it provides a foundation in essential job-seeking materials, such as a resume and portfolio, as well as guidance on how to find and assess prospective job positions.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analyst Career Guide and Interview Preparation.
Comprehensive guide to using R for data science. It covers topics such as data manipulation, data visualization, and machine learning, providing learners with the skills they need to work with data effectively.
Comprehensive guide to using Python for data analysis. It covers topics such as data manipulation, data visualization, and machine learning, providing learners with the skills they need to work with data effectively.
Provides a comprehensive guide to using Scikit-Learn, Keras, and TensorFlow for machine learning. It covers topics such as data preprocessing, model selection, and model evaluation, providing learners with the skills they need to build and deploy machine learning models.
Provides a comprehensive guide to using Power BI for data analysis. It covers topics such as data preparation, data visualization, and data analysis, providing learners with the skills they need to use Power BI effectively.
Provides a comprehensive guide to using Tableau for data analysis. It covers topics such as data preparation, data visualization, and data analysis, providing learners with the skills they need to use Tableau effectively.
Provides a comprehensive introduction to deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for learners who want to build a deep understanding of deep learning.
Focuses on the practical applications of data science in business settings. It covers topics such as data mining, machine learning, and predictive analytics, providing learners with the skills they need to make data-driven decisions.
Provides a comprehensive guide to using Spark for advanced analytics. It covers topics such as data engineering, machine learning, and graph analytics, providing learners with the skills they need to use Spark effectively.
Provides a comprehensive introduction to machine learning, using Python as the programming language. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning, providing learners with the skills they need to build machine learning models.
Provides a comprehensive introduction to data visualization, covering topics such as data visualization principles, data visualization techniques, and data visualization tools. It valuable resource for learners who want to learn how to visualize data effectively.
Provides a comprehensive introduction to data analytics, covering the basics of data collection, cleaning, analysis, and visualization. It valuable resource for learners who are new to the field and want to build a strong foundation.
Provides a comprehensive guide to using Hadoop, covering topics such as data storage, data processing, and data analysis. It valuable resource for learners who want to build and manage Hadoop clusters.

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