Introduction to Data Analytics
Copenhagen | Data Analytics Courses
1 session / week
This is a FREE course
Course Overview
This course is designed to equip you with essential skills in Power BI and a basic understanding of Data Analytics. Through hands-on projects and real-world datasets, you'll learn how to extract valuable insights and make informed decisions using data.
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Throughout this course, you will master the following skills:
Python Programming: Gain proficiency in Python, focusing on data handling and analysis.
Data Analysis: Learn how to analyze and interpret data to extract meaningful insights.
Data Manipulation: Acquire skills in manipulating data using tools like Pandas and SQL.
Data Wrangling: Clean and prepare data for analysis, ensuring its quality and relevance.
Data Visualization: Visualize data effectively using Matplotlib, Seaborn, and Plotly to communicate findings.
Critical Data Analysis: Develop the ability to critically analyze data to derive actionable conclusions.
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You identify as: A woman or nonbinary
You have a high level in English: Ensuring you can understand and engage with course materials.
You are digitally comfortable: You have a basic understanding of digital tools and technologies.
You have a high interest in: Data Analytics and programming and are eager to develop your coding skills.
You can commit: Commit to attending classes regularly and participating actively to at least 10 out of 12 classes.
You have basic understanding in Python: Alternatively, you are committed to taking a self-paced online course before semester starts.
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Networking Events: Participate in networking events to connect with industry professionals, peers, and potential employers.
Career Coaching: Apply for a career coach to guide you in your professional journey and receive guidance from professionals in the IT industry.
Applying for a Career Coach: Receive guidance from a career coach to navigate your professional journey.
A Microsoft Certification: Earn a voucher to take the PL-300 certification exam, boosting your qualifications in the field of Data Analytics.
Career & Soft Skills Workshops: Participate in workshops designed to empower you and to improve your career readiness and soft skills.
ReDI Alumni Network: Become a part of the ReDI Alumni Network and the ReDI community.
SkillsBuild Self-paced eLearning: Utilize self-paced learning modules by IBM and ReDI School to further enhance your skills.
ReDI School Certification: Earn a ReDI School Certification if you attend 10 out of 12 classes.
Course Impressions
- Available in Copenhagen
- In person
- Classes: Wednesdays at 5-8 PM
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English