The Data Science with Python course teaches you to master the concepts of Python programming. Through this Python for Data Science training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential Data Science tools using Python.
Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. According to the US Bearue of Labor Statistics around 11.6 million data science jobs will be created by 2026 and professionals with Python skills will have an additional advantage.
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.
Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.
Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.
IBM, a leading US-based IT company, wants to identify the factors that influence employee attrition by building a logistics regression model that can help predict employee churn.
Perform a service request data analysis of New York City 3-1-1 calls. Focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
A research team is working on information filtering, collaborative filtering, and recommender systems. Perform analysis using Exploratory Data Analysis technique for user datasets.
Once you successfully complete the Data Science with Python training, Simplilearn will provide you with an industry-recognized course completion certificate which will have a lifelong validity.
Yes, we provide 1 practice test as part of our Data Science with Python course to help you prepare for the actual certification exam. You can try this Free Data Science with Python Practice Test to understand the type of tests that are part of the course curriculum.
I completed this course at Simplilearn. The faculty, Prashanth Nair, was extremely knowledgeable, and the entire class appreciated his way of teaching. Simplilearn's support team was very accommodating and quick in providing responses. I was able to grab a 30% hike in my salary after getting certified.
Simplilearn is an excellent platform for online learning. Their course curriculum is comprehensive and up to date. We get lifetime access to the recorded sessions in case we need to refresh our understanding. If you are looking to upskill, I suggest you sign up with Simplilearn. They offer classes in almost all disciplines.
I recently enrolled in the Data Scientist Master’s Program at Simplilearn. The syllabus is systematically structured, and the Live sessions are explained with real-time examples. This makes the course more accessible to freshers with basic knowledge. Looking forward to completing it. Thanks, Simplilearn Team.
Python is the most popular programming language for Data Science. Python is widely used to perform data analysis, data manipulation, and data visualization. The advantages of using Python for data science are:
The rapid evolution of learning methodologies, thanks to the influx of technology, has increased the ease and efficiency of online learning, making it possible to learn at your own pace. Simplilearn's Python Data Science course provides live classes and access to study materials from anywhere and at any time. Our extensive (and growing) collection of blogs, tutorials, and YouTube videos will help you get up to speed on the main concepts. Even after your class ends, we provide a 24/7 support system to help you with any questions or concerns you may have.
Harvard Business Review has already named Data Scientist as the ‘Sexiest Job of the 21st Century.’ The statement is echoed in LinkedIn Emerging Jobs Report 2021 in which Data Science specialists are one of the top emerging jobs in the US with Python as one of its key skills. The job role has witnessed an annual growth of 35 percent for Data scientists and Data engineers.
If you have prior coding experience or familiarity with any other object-oriented programming language, it will be easier for you to learn Python for Data Science. However, it is not compulsory.
Python has simple syntax and is easy to understand. Knowledge of Java or C++ language helps in learning Python faster. This is because Python is also object-oriented and many of its prototypes are similar to Java. So you can easily migrate to Python with this comprehensive course.
Python is used for a variety of applications and you don’t need to be familiar with all of its libraries and modules. Even if you know the basics of Python, this Data Science with Python certification covers the popular libraries of Python that are used in data science projects.
Yes, Python supports a lot of open-source libraries like SciPy, NumPy, Scikit-Learn, TensorFlow, Matplotlib, and Pandas.
Yes, our Data Science with Python course is specifically designed to impart industry-oriented skills. The course material, practice with integrated labs, and real-world projects enhance your practical knowledge and help you apply them to Data Science projects.
It is beneficial if you brush up your skills in core math, statistics, and programming basics to get started with this Data Science with Python course.
Major companies like Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal use Python for Data Science.
Data scientists handle a variety of tasks in their day-to-day routine. They gather, merge, and analyze data and identify trends and patterns. They also build and test new algorithms to simplify data problems. Python is used along with other tools to perform all these tasks.
To run Python, your system must fulfill the following basic requirements:
The instruction uses Anaconda and Jupyter notebooks. The e-learning videos provide detailed instructions on how to install them.
Python and R are both popular languages among data scientists. While R is a statistical analysis language, Python is a general-purpose language that has a readable syntax and well-structured code. Data professionals prefer Python for its versatility and R for its better visualization capabilities. However, deciding on the best-suited programming language depends on the nature of the data analysis task you are working on.
When learning about Data Science with Python, you will gain a clear understanding of Python topics like functions, classes, lists, dictionaries, sets, tuples, and various Python libraries. Further, you will go through concepts like mathematical computing, data visualization, data exploration, data analysis, web scraping, machine learning, and feature engineering.
Some of the widely used Python libraries for data science include TensorFlow, NumPy, Keras, Matplotlib, scikit-learn, PyTorch, Scrapy, SciPy, and Pandas.
No, it is not mandatory to learn OOPs in Python when starting a career in Data Science. However, knowledge of OOP basics is beneficial when performing daily Data Science tasks.
If you enroll in the self-paced e-learning training program, you will have access to pre-recorded videos. However, if you enroll for the Online Classroom Flexi-Pass, you will have access to both instructor-led Data Science with Python training conducted online as well as the pre-recorded videos.
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.
The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
To become a data science expert, all you need is prior experience in mathematics or statistics and knowledge of programming languages like Python, Java, C++, etc. Simplilearn helps you gain expertise in Data Science with its Data Science with Python certification and have a successful career.
Data science collects relevant data, analyzes and interprets, and finds solutions for addressing business problems. Starting from healthcare to advertising, Data Science has applications in almost every possible field.
Not at all. Simplilearn’s Data Science with Python course has been tailored to meet the learning objectives of both beginners and experienced people and can be easily pursued by anyone meeting the course eligibility requirements.
Yes, Data Science is definitely a good career option given the following reasons:
While seeking data science with python training, beginners can first start with basics by completing the following fundamental modules included in the course:
Upon developing a profound base in Data Science with Python, you can start with the course in the given order for a systematic learning experience.
Yes, seeking data science with python training is worth it because, with the help of this certification, you’ll be able to:
After getting a data science with python certification, you can work as a:
A data science expert is primarily involved in collecting and analyzing data by utilizing various analytics and reporting tools to identify patterns, trends, and correlations in data sets. With the help of Simplilearn’s Data Science with Python certification, you will be able to gain a complete understanding of key roles and responsibilities of data science experts.
A data science expert should possess the following skills:
Seeking data science with python certification will help you gain all the skills mentioned above and have a flourishing career in data science.
Data Science has applications in every possible industry; however, some industries use data science extensively, such as retail, healthcare, banking and finance, construction, transportation, communications, media, and entertainment, education, manufacturing, natural resources, and energy and utility. Upon completing Simplilearn’s data science with python course, which is highly career-oriented, you can easily find job opportunities in these industries.
Some of the top recruiters hiring professionals with data science with Python certification are HData Systems, Hyperlink InfoSystem, Tata Consultancy Services, Accenture, Tech Mahindra, Capgemini India Pvt Ltd, Tiger Analytics, Genpact, LatentView Analytics, and DataFactz.
To have a comprehensive data science with python training, you can consider referring to the following books:
On average, professionals with Data Science with Python certification earn an annual salary of $97853.