Applied Machine Learning Projects: Course Launch

Get Updates Here

I'm thrilled to announce the upcoming launch of the Applied Machine Learning Projects course by PrepVector in collaboration with Maven ! This course is designed to empower data professionals learn the practical applications of ML methodologies and drive business growth through actionable insights.

My motivation behind building this course:

1. Data Science projects present unstructured and ambiguous business challenges, necessitating a structured approach to problem-solving
2. There is abundant content on Machine Learning methodologies, there's a significant gap in understanding how these methodologies are effectively applied in real-world industry scenarios.
3. Data Science projects often require collaboration with diverse stakeholders, both technical and non-technical, to drive impact.

About Me:

Manisha Arora is a Data Scientist at Google with 10+ years of experience in driving business impact through data-driven decision-making. She is currently leading ad measurement and experimentation for Ads across Search, YouTube, Shopping, and Display. She works with top advertisers to support their marketing and business objectives through data insights, machine learning, and experimentation solutions.

My Vision:

My vision is simple: bridge the gap between the theoretical and practical aspects of data science. This will enable data professionals to thrive in the complex ecosystems of the workplace, drive greater value for the business, and help build better stakeholder relationships.

Through this course, I aim to:

1. equip data professionals with the practical knowledge and hands-on experience needed to tackle industry challenges
2. enable a structured thought process to understand business problems, gather requirements and lead end-to-end ML projects
3. drive actionable insights that enables decision-making

Who this course is meant for:

This course is designed to help people get into the weeds of machine learning, and learn how to lead end-to-end ML projects that drive growth strategy. You will also learn how to communicate clear insights that resonate with cross-functional partners.

This course is meant for:

1. Data scientists striving to construct a compelling portfolio of industry projects.
2. Software engineers enthusiastic about mastering practical applications of machine learning.
3. Business leaders seeking firsthand experience in leveraging data-driven insights.
4. Data and Business Analysts equipped with basic programming knowledge, eager to enhance their analytical capabilities.

Who this course is NOT meant for you if:

• You have no prior experience or basic understanding of programming and data analysis concepts.?
• You prefer a passive learning approach and are not inclined towards hands-on projects that involve coding.

Prerequisites:

1. Basic understanding of programming concepts
2. Familiarity with Python programming language
3. Knowledge of data manipulation and analysis tools like Pandas and NumPy
4. Learning curiosity ??

What You'll Walk Away With:

Upon completion of this course, you'll walk away with:

• A compelling portfolio of industry projects showcasing your machine learning skills
• Mastery of practical applications of machine learning methodologies
• The ability to drive actionable insights and make informed decisions through data analysis
• A deeper understanding of how to execute ML projects in the industry

Whether you're a seasoned data scientist, a software engineer eager to delve into machine learning, a business leader seeking to leverage data for strategic advantage, or an analyst looking to expand your skill set, this course is tailored to meet your needs.

Course Survey & Waitlist:

I would love to hear from you what are the most useful topics you would want to learn. If you have hired data professionals, I would love to know what skills you wished you saw more of in the candidates. Your inputs will help me shape the content and make it even more valuable for everyone!

Course Survey & Waitlist

Waitlist for the course is now open. The first cohort is limited seats and those on the waitlist will get priority.

Looking forward to your responses. Subscribe to this newsletter to stay tuned for more such events! ??