How do I start a journey in data science?

How to launch your data science career

1. Step 0: Figure out what you need to learn.
2. Step 1: Get comfortable with Python.
3. Step 2: Learn data analysis, manipulation, and visualization with pandas.
4. Step 3: Learn machine learning with scikit-learn.
5. Step 4: Understand machine learning in more depth.

Is BSC data science easy?

Learning data science is not that easy. As it comprises core concepts and principles of Business Intelligence, Artificial Intelligence, Machine Learning and more it will consume quite a bunch of time and efforts from you.

Is it hard to get a data scientist job as a fresher?

As a fresher, it’s tough to get a data scientist job in the data science field. But if we follow a strategy to prepare to learn the required skill set for the data science field. We can easily get the first job as a data scientist. As said before, the learning path won’t be so easy.

Why can’t a data scientist make a chart?

The data scientist likely came in to write smart machine learning algorithms to drive insight but can’t do this because their first job is to sort out the data infrastructure and/or create analytic reports. In contrast, the company only wanted a chart that they could present in their board meeting each day.

Why are data scientists unhappy in their roles?

The company then get frustrated because they don’t see value being driven quickly enough and all of this leads to the data scientist being unhappy in their role. Robert Chang gave a very insightful quote in his blog post giving advice to junior data scientists:

Why do junior data scientists want to get into data science?

Many junior data scientists I know (this includes myself) wanted to get into data science because it was all about solving complex problems with cool new machine learning algorithms that make huge impact on a business. This was a chance to feel like the work we were doing was more important than anything we’ve done before.