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Launch Your Career as a Data Scientist: 3 Real-World Projects with Expert Guidance
1.5k+ satisfied learners Read Reviews

Launch Your Career as a Data Scientist: 3 Real-World Projects with Expert Guidance

Top Instructor
img Kunaal Naik - Senior Data Scientist at Dell Technologies

Are you ready to elevate your data science skills and step into a rewarding career? This program is designed for aspiring data scientists who want to ... Read More

Starts on Starts on 02 Jan 2025
Duration: 3 Weeks
Projects

Gain hands-on experience and set yourself apart in the job market.

4.8

(86 reviews)

Beginner level

Recommended experience

15 hours to complete

3 weeks at 5 hours a week

Flexible schedule

Learn at your own pace

What will you gain from this training?

Hands-on experience with real-world machine learning projects.

A strong portfolio to showcase your data science expertise.

Deep understanding of predictive modeling and evaluation metrics.

Personalized guidance and doubt resolution from an industry expert.

A certificate of completion to validate your skills.

Job search strategies and resources tailored for data science roles.

1st Week

In this session, participants will dive into medical data analysis. You'll learn to preprocess healthcare datasets, handle missing values, and perform exploratory data analysis (EDA) to identify key patterns. The focus will then shift to feature engineering and building a machine learning model to predict chronic kidney disease. You’ll also cover metrics like precision, recall, and F1-score to evaluate model performance effectively.

2nd Week

This class introduces you to predictive modeling in the insurance domain. You’ll analyze customer data to predict conversion rates. The session covers advanced data preprocessing techniques, feature selection, and the implementation of machine learning algorithms like Logistic Regression or Random Forest. You’ll also focus on interpreting model outcomes to provide actionable business insights.
This masterclass focuses on building a compelling resume and optimizing your LinkedIn profile to attract recruiters. Learn how to highlight your projects effectively, craft an engaging summary, and leverage LinkedIn's features to network and showcase your skills.

3rd Week

In this session, participants will tackle customer churn prediction in the banking industry. You’ll work with real-world datasets to clean and preprocess data, visualize key trends, and implement machine learning algorithms like Decision Trees or Gradient Boosting. The class emphasizes actionable insights that can reduce churn and improve customer retention strategies.

1st Week

In this session, participants will dive into medical data analysis. You'll learn to preprocess healthcare datasets, handle missing values, and perform exploratory data analysis (EDA) to identify key patterns. The focus will then shift to feature engineering and building a machine learning model to predict chronic kidney disease. You’ll also cover metrics like precision, recall, and F1-score to evaluate model performance effectively.

2nd Week

This class introduces you to predictive modeling in the insurance domain. You’ll analyze customer data to predict conversion rates. The session covers advanced data preprocessing techniques, feature selection, and the implementation of machine learning algorithms like Logistic Regression or Random Forest. You’ll also focus on interpreting model outcomes to provide actionable business insights.
This masterclass focuses on building a compelling resume and optimizing your LinkedIn profile to attract recruiters. Learn how to highlight your projects effectively, craft an engaging summary, and leverage LinkedIn's features to network and showcase your skills.

3rd Week

In this session, participants will tackle customer churn prediction in the banking industry. You’ll work with real-world datasets to clean and preprocess data, visualize key trends, and implement machine learning algorithms like Decision Trees or Gradient Boosting. The class emphasizes actionable insights that can reduce churn and improve customer retention strategies.
In the final session, participants will learn how to navigate the competitive job market. Topics include crafting tailored applications, preparing for technical interviews, and using job platforms effectively. Kunaal will share actionable tips and resources to maximize your chances of landing a data science role.

Earn a career certificate

Highlight your certification on LinkedIn, your resume, or CV, and share it proudly on social media

What Makes This Course Unique

Hands-On Projects Build expertise with three real-world data analytics projects

Expert Mentorship Learn directly from Kunaal Naik, Senior Data Scientist at Dell Technologies

Personalized Guidance Exclusive batch of 30 for focused, one-on-one mentorship

Accelerated Learning Master data science skills in just 3 weeks

Career Certification Showcase your skills with an industry-recognized certificate

Job-Search Strategies Unlock actionable tips to land your dream data role

Frequently asked questions

This course is designed for aspiring Data Scientists who want to gain practical experience with real-world projects and enhance their resumes.
This course is designed for beginners and aspiring data scientists, so no prior experience in machine learning is required. However, having a basic understanding of Python programming and foundational statistics will help you get the most out of the training. If you are new to these areas, we recommend brushing up on Python basics and concepts like mean, median, and standard deviation before starting the course.
You’ll complete three industry-relevant projects:
  • Chronic Kidney Disease Prediction with Machine Learning
  • Smart Insights for Insurance Success: Predicting Customer Conversion
  • ML Project for Entry Levels - Bank Churn Prediction
The course spans 3 weeks, with 2 classes per week. Each week focuses on completing one project with hands-on guidance from Kunaal Naik.
This course is designed for aspiring Data Scientists who want to gain practical experience with real-world projects and enhance their resumes.
This course is designed for beginners and aspiring data scientists, so no prior experience in machine learning is required. However, having a basic understanding of Python programming and foundational statistics will help you get the most out of the training. If you are new to these areas, we recommend brushing up on Python basics and concepts like mean, median, and standard deviation before starting the course.
You’ll complete three industry-relevant projects:
  • Sales Data Exploration using SQL
  • Strategic Marketing for Personal Loans using SQL
  • Food Delivery App Data Cleaning with Pandas
The course spans 3 weeks, with 2 classes per week. Each week focuses on completing one project with hands-on guidance from Kunaal Naik.
All sessions will be recorded and made available to participants, so you can catch up at your own pace.
Yes, you will receive a Certificate of Completion, which you can add to your resume and LinkedIn profile.
Each batch is limited to 30 participants to ensure personalized attention and support.
By completing this course, you’ll gain hands-on project experience, a polished resume, and actionable tips for job hunting. These will set you apart in the competitive data analytics job market.
Kunaal Naik is a Senior Data Scientist at Dell Technologies with extensive experience in solving real-world data problems. He’ll personally mentor you throughout the course.
You can enroll by creating a HiCounselor account on the website. Seats are limited, so secure your spot early!

Customer Testimonial

Customer Reviews

J
Jessica Green

This program exceeded my expectations. The projects were challenging yet rewarding, and the job search strategies were very insightful. I now have a clearer path to a data science role.

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Kim Lee

Kunaal is an amazing mentor! The chronic kidney disease prediction project was particularly fascinating. I feel much more prepared to handle real-world data science challenges now.

A
Amit Sharma

This course was a game-changer for me. The real-world projects and Kunaal’s guidance helped me build a strong portfolio. I feel confident applying for data science roles now.

R
Rohit Verma

Kunaal’s teaching style and the doubt resolution sessions were excellent. The projects were practical and relevant to the industry. Highly recommended for anyone looking to break into data science.

T
Tanishka Mehta

The step-by-step approach and the masterclass on resume building were incredibly helpful. The hands-on experience with machine learning projects is exactly what I needed to advance my career

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About

Are you ready to elevate your data science skills and step into a rewarding career? This program is designed for aspiring data scientists who want to gain hands-on experience with machine learning projects that mirror real-world challenges.

With this exclusive training, you’ll complete three high-impact machine learning projects under the mentorship of Kunaal Naik, Senior Data Scientist at Dell Technologies. Each project is crafted to help you build a robust portfolio and master the essential techniques required for a data scientist role.

This program features:

• Small Batch Size (30 participants) for focused learning and personalized guidance.
• Hands-On Projects designed to showcase your skills and make your resume stand out.
• A Certificate of Completion to validate your expertise.

Starts on Starts on 02 Jan 2025

Educator

Kunaal Naik
Kunaal Naik

Empowering Future Data Leaders for High-Paying Roles | Non-Linear Learning Advocate | Data Science Career, Salary Hike & LinkedIn Personal Branding Coach | Speaker #DataLeadership #CareerDevelopment