PYTHON WITH DATA SCIENCE WINTER INTERNSHIP

PYTHON WITH DATA SCIENCE

 

WINTER INTERNSHIP OVERVIEW

The Python with Data Science Winter Internshipby CRAW teaches you to master the concepts of Python programming language. This Winter Internship will help you learn data analysis, machine learning, data visualization, web scraping, & natural language processing. After completion of this winter Internship, you will be thorough with the concepts of Data Science and Python.

 

The students will get an opportunity to work on challenging problems that range from leading-edge exploratory work to prototyping real-world systems and applications.

 

Python is a very easy programming language. It can be by simply reading and understanding what the code is being used for and this language used for writing python scripts, GUI apps, webpages, Games, also used in machine learning, Data science, Artificial Intelligence.

In the Data science part of the Winter Internship, students will learn to manage and handle very messy data from the real world. It starts from, cleaning the data that is data wrangling. Data wrangling is done like we remove the missing values because there are missing values present in the data. Some data is also irrelevant that is of no use so we remove those columns from the data also there is the data that is in text format that cannot be used for the further process so you have to convert that string data into numbers format so that it can feed into further processes and we have to show the graphical representation of the data for the better understanding of the data. For that, we use libraries like NumPy, Pandas, Matplotlib. We provide training from very basic to expert level.

 

 

WHAT ARE THE TYPE OF PROJECT WORK WE DO?

·         Face expression classifier

·         Imdb poster genre recommendations

·         House price prediction

·         Titanic survival prediction

·         Pokemon data analysis

• Products rating prediction for Amazon: Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.
• Demand Forecasting for Walmart: Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.
• Improving customer experience: Provide companies key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.

 

 

What you will learn in this Winter Internship?

• Understand the basics of Python language and how to apply data science in the programming language.
• Practice of iterative data science using Jupyter notebooks.
• Analyse data using Python libraries like Pandas and Numpy.
• Preparing amazing data visualizations with matplotlib, folium, and seaborn.
• Building machine learning models using Scipy and Scikitlearn.
• Developing proficiency in solving real life data science problems.

 

WHAT IS THE USEFULNESS OF THIS WINTER INTERNSHIP?

1. Easy to Learn

Python is one of the easiest languages to learn. You can learn it even without any background in coding, learning Python will not be difficult. You can become a data scientist without coding skills by learning the Python language.

2. Faster Development and Processing

While dealing with huge amounts of data, speed is key. A slow language can slow down the entire process. Python is a clean, easy to handle language that requires only a few lines of coding. This significantly cuts down on the coding time required.

3. Powerful Packages

Python comes with huge range of packages such as NumPy, SciPy, PyBrain, Pandas, etc. that makes it incredibly simple to code complex data analytics problems. There are also many libraries that support the integration of Python with other languages such as C and SQL. These further aid Python in making it more powerful.

4. Community Support

Python is learnt by so many people, so, there is a huge community. Anytime, you face any problem you can easily get in touch with them. In addition to this, many in the community are also constantly developing new packages and libraries for a variety of uses. With the popularity of Python for data science increasing, many of these are being developed for the use of data scientists.

5. Better Data Visualisation

Visualization is key for data scientists as it helps them understand the data better. With libraries such as ggplot, Matplotlib, NetworkX, etc., and APIs such as Plotly, Python can help you create stunning visualizations. You can also integrate other big data visualization tools in Python.

6. Compatible with Hadoop

One of the most popular open-source platforms for big data, Hadoop is inherently compatible with Python. The package also lets you write code for complex problem solving with little effort.

7. It will help you to Kickstart Your Career

This Winter Internship will provide you with skills to get a great job with high package.