[00:01] Statistics just projected something huge. Data science is expected to grow 34% in the next [music] decade. That means 82,000 more jobs and 23,000 openings every [music] single year. Now, let me ask you three questions.
[00:16] What is Python used for? What is regression [music] model? And what does SQL do? Now, if you cannot answer these today, you're not job ready yet. But in 6 months, [music] you can be. Month one, learn Python. Focus on basics, pandas,
[00:29] numpy, matplotlib. Month two, learn SQL and statistics. Now, SQL [music] helps you pull data and statistics helps you understand it. Month three, practice [music] data analysis. Clean data sets, build charts, and find patterns. Month
[00:42] four, start machine learning. [music] Learn linear regression, decision trees, and random forest. Month five, build projects. Create [music] one prediction model, one dashboard, and one real-world data analysis project. Month six, get
[00:55] and resume. Then start applying. And by [music] the end of 6 months, you should be able to answer those three questions with confidence. And if you want a mentors, projects, and career support,
[01:08] course. Make sure to subscribe to our YouTube channel for more such tech YouTube channel for more such tech insights [music] like these.