Online Data Mining With Python Certification Course

Course Overview:

Data mining helps to create actionable plans from the analysis of multiple spreadsheets and derive meaningful insights through the application of impactful algorithms. Python is one of the widely used programming languages that is basically implemented on data wrangling and visualization to derive an outcome that would boost business revenue, and create a large market segment. Python used in data mining is extremely helpful even to cure a disease through proper cluster analysis and association and correlation analysis.

The course will guide you through modules that will build comprehensive knowledge on how to build assumptions for any model and use words, graphs, metaphors, and basic mathematics. You will gain complete insight into Python programming concepts such as file operations, data operations, and object-oriented information. The course also deals with different Python libraries such as Pandas, Numpy, and Matplotlib which are essential to analyze and visualizing data sets and deriving reliable outcomes. The course is also provided with multiple practice sessions that will help you not just learn but also apply and understand concepts through real-world projects. At the end of the course, you will earn a certificate that opens up many opportunities to build a successful career as a data analyst.

How it Works:

Step 1: Take a course

To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.

Step 2: Complete all modules / articles / hands-on Project

You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate

Step 3: Earn a Certificate

When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

Minimum Eligibility :

  • Thorough knowledge of computer functionalities
  • Basic understanding of computer programming languages
  • Fundamentals of data analysis

Who is this course for :

  • Anyone interested to learn a programming language in data mining
  • Business professionals
  • Data analysts
  • Academic professionals who are interested in programming languages to obtain meaningful results
  • Undergraduate students who want major career advancement in data science

Course Comparison :

Below are the best online course providing portals. Hop on to these to compare course modules, certifications, features, duration, fees and other benefits and choose the one that best suits you.

Note: Prime Courses is a learner-supported platform. When you buy through links on our site, we may earn an affiliate commission.

What you will learn :

  • Understand survival analysis in Python
  • Fundamentals of data analysis, and data visualization
  • Use of Cox Proportional Hazard Regression
  • How to imply cluster analysis and principal component analysis to better understand and correlate multiple spreadsheets
  • Comprehensive understanding of LIME, SHAP
  • Learn how to derive potential causes and reasons for a pattern through outlier analysis
  • Building relationships between variables while dealing with big data
  • Use of Python in data wrangling
  • Understanding data mining life cycle
  • Text analysis and exploratory data analysis
  • Gain knowledge of popular Python toolkits such as Pandas, Matplotlib, Scikit-learn, nltk, and Networkx to build expertise to derive reliable insights

Skills you will Gain :

  • Fundamentals of data analysis
  • Data visualization
  • Cluster analysis
  • Data mining with Python
  • Manifold and PCA
  • Business intelligence

Benefits of this course :

Python in data mining helps to achieve impactful outcomes through its algorithm that reduces the effort to create pivot tables and number crushing and increases the time invested in analysis and data visualization.

  • The modules of the course are arranged to maintain a constant learning pace while gaining comprehensive knowledge.
  • This is an absolute beginner-friendly course with a step-by-step guide through every code snippet, parameter, and function.
  • Learners will learn important, up-to-date algorithms to deal with big datasets more efficiently.
  • Students will gain confidence through detailed case studies and real-world project analysis to secure a career in data science.

Average Salary :

Python is the most futuristic language in data mining and is valued across industries and educational sectors. The average salary of a Python developer is $110k per year.

  • Minimum Salary: $86k per annum
  • Maximum Salary: $126k per annum

Future Scope :

With the development of newer technologies and increasing dependency on digital platforms, learning programming language skills has become an absolute necessity as these are the foundation of emerging technologies. Python is one of the most powerful languages yet easy to use while executing analysis of data spreadsheets with enhanced stability. A significant share of web developers in recent times have excellent skill sets in Python and are employed by some of the biggest companies such as Instagram, Spotify, and Amazon. This futuristic programming language in data mining is slowly upgrading as the Python community across the world keeps on adding newer techniques and functionalities.

As an open-source programming language, Python supports multi-program paradigms which help in automation techniques and AI alongside increasing a company's performance and revenue through data mining. Data mining in Python is the most valued skill all over the world and proper expertise will help to land your dream job.

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