Lvl.2 -> Advanced Data Skills

Pre-requisite: Lvl.1 Data Skills (for Non-Data Scientists)
Approx. Time Required: 2 months

✅ NEW! Join our Mentorship Program for this Career Path here. 👈

Step into the realm of Advanced Data Skills, designed for those ready to expand their foundational knowledge into the broader, more complex aspects of data analytics over two months. This career path bridges the gap between basic data understanding and the nuanced world of business analytics, data visualization, and comprehensive data science. It’s a deep dive into statistical analysis, leveraging Excel for impactful visual storytelling, and mastering the end-to-end data science process. Ideal for professionals seeking to enhance their analytical capabilities, this path equips you with the skills to analyze, visualize, and communicate data insights effectively, setting you apart in the competitive landscape of data-driven decision-making.

1. Statistics for Business Analytics A-Z

This streamlined course introduces you to the essential statistical concepts and techniques needed for data analysis in business. From understanding different types of distributions to mastering the Central Limit Theorem, hypothesis testing, and beyond, this course condenses complex ideas into digestible lessons.

  • Grasp key statistical distributions and their applications in real-world data.
  • Understand and apply the Central Limit Theorem for sampling distribution analysis.
  • Conduct hypothesis testing to make informed decisions based on statistical significance.
  • Navigate through advanced hypothesis testing techniques, enhancing your analytical skills.

Upon completion, you’ll be adept at applying statistical methods to analyze and interpret data, empowering you to make data-driven decisions with confidence. This course equips you with a solid statistical foundation, crucial for anyone looking to excel in business analytics.

2. Data Visualization with Excel

Dive into the essentials of creating compelling, clear, and impactful visualizations in Excel. This course starts with foundational visualization principles and best practices, guiding you through the intricacies of Excel’s charting capabilities. From basic charts to advanced dynamic dashboards, you’ll learn to transform data into meaningful insights.

  • Master Excel’s chart elements, layouts, and custom templates to craft engaging visuals.
  • Navigate through a wide array of charts including bar, line, pie, scatter, bubble, and more, understanding their best use cases.
  • Leverage advanced techniques like custom image overlay charts, dynamic dashboards, and animations to highlight data trends and insights.
  • Implement Excel’s power tools like Power Map and form controls to create interactive, geo-spatial visualizations and dashboards.

You’ll finish with the ability to not just visualize data in Excel, but to tell compelling stories that capture attention and convey complex information in an accessible manner. Whether for reporting, analysis, or presentation, your enhanced Excel visualization skills will set you apart in the world of data analysis.

3. Data Science A-Z

This extensive course covers all areas of data science from visualization, modeling, data preparation, to communication.

  • Conduct advanced data mining with tools like Tableau.
  • Master complex statistical models and logistic regressions.
  • Handle data preparation, understand ETL, and utilize SQL for data science.
  • Develop strong communication skills for cross-departmental work and presentations.

Continue the path with a robust skill set that enables you to manage data science teams, oversee end-to-end data projects, and present insights to stakeholders effectively.

Plus, check out these Live Lab Recordings:

 

Live Lab Recording #5: Time Series Analysis using Amazon Forecast

👉 Remember to join the Mentorship Program [here] to grow even faster!