First 5 steps to Launch your data science career with Python

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Published on February 22nd, 2021

Now before starting with the process of knowing the required steps to start your career as a data scientist and learn data science using python, let’s get through with these two terms:

Data Science: It is a process of asking questions and then answering those questions using data that uses scientific methods, algorithms, processes, and systems to extract insights from all sorts of data.

Python: It is a high-leveled interactive programming language that allows you to do many small and big things. For example: Doing mathematical and scientific analysis, building desktop, web, and internet applications, etc.
Before moving towards the important steps, the first thing you need to do is watch where you stand, what you already know, and what you need to learn.

Table of Contents

Now let us move towards the important steps to become masters in data science using python:

Step 1: Start learning Python for Data Science

The first and foremost step is to start learning this programming language. Python is a great choice and is more popular in the industry. Python is advisable for both professionals and freshers. There is various data science certification course available in both offline and online modes. There are many university programs in data science of different time periods, you can choose according to your convenience and also online data science classes are being provided by various institutes. You can choose among any of the alternatives.

Step 2: Enhance your data analysis, manipulation, and visualization skills with Pandas.

To start working with Python You should know how to use Panda Library.
It includes various additional features which also provide a high-performance data structure also called (“data frame”) which is suitable for tabular data. Learning Pandas will significantly increase your efficiency when you are handling data. You can also go for a master’s in data science option if you want to learn and understand everything precisely.

Step 3: Machine learning

For machine learning in Python, the first thing is you should learn how to use the scikit-learn library. Scikit-learn is the most popular library for machine learning in Python. It helps to predict the future and automatically extracts insights from the data. Scikit-learn has a steep learning curve and machine learning is a rapidly evolving field and complex to understand. For this, you can enroll in an online data science course or a university program in data science like I recommend you E&ICT Academy, IIT Roorkee data Science with Python program to be enrolled for better learning and understanding.

Step 4: Have an in-depth understanding of Machine Learning

Machine learning is a complex study to understand. You have to get answers to many questions to have a deep understanding of machine learning. For example: Which machine learning model will work for my database? or What all features should be included in my model? how to interpret the results of the model etc.

And to have a deep understanding of Data Science you can go for an online data science certification course or enroll in Applied Data Science with Python. As a told you earlier also you can enroll in the E&ICT Academy, IIT Roorkee data science program in collaboration with The IoT Academy which will best suit you.You can surely enroll in the programs offered here for good carrier opportunities in data science.

Step 5: Keep Practice

It is the key to improve your data science skills. The IoT Academy is an NCR Based Firm. offer the best training programs related to the Internet of Things (IoT), Embedded systems, Big Data, Data analytics, Industrial IoT, Industry 4.0, Python, Artificial Intelligence, and Machine Learning.

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