Santa Clara, May 01, 2025 (GLOBE NEWSWIRE) — Santa Clara, California –
https://www.globenewswire.com/news-release/2025/04/24/3067952/0/en/Data-Science-Interview-Preparation-Course-2025-For-Top-Data-Scientist-Jobs-at-Google-Amazon-Meta-Apple-Netflix.htmlThe rise of AI-powered dashboards and advanced data storytelling is redefining how companies make decisions and how data professionals are hired. In 2025, organizations aren’t just looking for analysts who can crunch numbers. They want data scientists who can translate complex data into business insight through narrative, visualization, and product-impact-driven communication. For more information, visit: https://interviewkickstart.com/courses/data-science-interview-masterclass
Interview Kickstart’s Data Science Course is built precisely for this new era. Designed by hiring managers and senior engineers at top tech companies, the course doesn’t just teach machine learning and data engineering. It builds your ability to present data in ways that influence decisions and drive outcomes.
Modern data storytelling now extends beyond static reports, combining real-time dashboards, generative AI, and interactive visualizations that allow decision-makers to explore scenarios on the fly. As AI tools like Tableau GPT and Power BI’s Copilot evolve, the demand for professionals who can use these tools effectively is growing rapidly. FAANG+ companies are leading this change, actively recruiting candidates who not only understand data but can explain its implications to product heads, growth teams, and engineering stakeholders.
The curriculum is divided into two major parts. The first part focuses on the data science essentials. It begins with six weeks of Programming with Python, followed by four weeks of Databases and SQL Programming, five weeks of Mathematics for Data Science and Machine Learning, and six weeks of Data Wrangling and Exploratory Data Analysis.
Then, learners go deep into Classical Machine Learning over nine weeks, before advancing to four weeks of Advanced Machine Learning and Deep Learning. The program also includes five weeks of Big Data Analysis and five weeks of Data Visualization and Storytelling, a module specifically focused on building compelling dashboards and translating data insights into business value.
Interview Kickstart goes beyond just the theory. During the course, participants choose from six real-world capstone projects over four weeks, applying all they’ve learned to practical use cases.
The second part of the Data Science course is dedicated to interview preparation, helping learners navigate the job market and land their dream job roles in top-tier companies. It includes seven weeks of Data Structures and Algorithms Interview Prep, five weeks of Data Science Interview Prep, and three weeks of Career and Behavioral Sessions. These are not generic workshops, they are purpose-built to prepare candidates for the rigorous hiring processes at FAANG and other tier-1 tech companies.
