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Data Science with Python Course

Start your career as Data Scientist from scratch. Learn Data Science with Python. Predict trends with advanced analytics!!
Course
Curriculum

The fundamentals of the data science with python course including core python programming techniques like lambdas, reading and manipulating CSV files, and the Numpy library, will be covered in this course. The popular Python pandas data science library will be used to teach students how to manipulate and clean data, explain the abstraction of Series and DataFrame as the key data structures for data analysis, and provide tutorials on how to efficiently use tools like groupby, merge, and pivot tables. Students will be able to take tabular data, clean it up, manipulate it, and perform fundamental inferential statistical analyses by the end of the course.

What will you learn in Data science with Python Course?

  1. End-to-end knowledge of Data Science
  2. Python programming -Variables, Data types, Loops, Functions, Tuples, Dictionary, List, Functions & Modules, etc.
  3. Data science Applications
  4. Descriptive Statistics
  5. Inferential Statistics
  6. Hypothesis Testing
  7. Decision-making and Regular Expressions
  8. Data engineering in Pandas
  9. Data visualization in Excel and Python
  10. Statistical Methods in Data Science with Python
  11. Introduction to Data Science Libraries
  12. Supervised and unsupervised Models
  13. Linear Regression
  14. Multiple Linear Regression
  15. Logistic Regression
  16. Clustering Analysis
  17. K-Means
  18. Reinforcement Learning
  19. Ensemble Learning
  20. Bagging
  21. Boosting
  22. Stacking
  23. Model validation and testing
  24. Regularization(Lasso and Ridge)
  25. Performance Analysis for Classification problem
  26. ROC Curve
  27. Model Specification
  28. Confusion Matrix
  29. Data Mining with Python
  30. Deep Learning and AI
  31. Tensorflow and Keras overview
  32. CNN, RNN
  33. Overview of NLP
  34. Overview of Tableau

Requirement

This course does NOT need any pre-requisite. You Just need to have laptop and an Internet connection.

Description

A warm welcome to the Data Science with Python course.

If you aspire to become a data scientist and want to expand your horizons, then this is the perfect course for you. The primary goal of this course is to provide you a comprehensive learning framework to use Python for data science.
This curated Data Science with Python course will take your journey from the fundamentals of Python to exploring simple and complex datasets and finally to predictive analysis & models development. In this Data Science using Python course, you will learn how to prepare data for analysis, perform complex statistical analysis, create meaningful data visualizations, predict future trends from data, develop machine learning & deep learning models, and more.

Data Science with Python involves not only using Python language to clean, analyze and visualize data, but also applying Python programming skills to predict and identify trends useful for decision-making.

Why Python for Data Science?

Since data revolution has made data as the new oil for organizations, today’s decisions are driven by a multidisciplinary approach of using data, mathematical models, statistics, graphs, databases for various business needs such as forecasting weather, customer segmentation, studying protein structures in biology, designing a marketing campaign, opening a new store, and the like. The modern data-powered technology systems are driven by identifying, integrating, storing and analyzing data for useful business decisions.

Scientific logic backed with data provides solid understanding of the business and its analysis. Hence there is a need for a programming language that can cater to all these diverse needs of data science, machine learning, data analysis & visualization, and that can be applied to practical scenarios with efficiency. Python is a programming language that perfectly fits the bill here and shines bright as one such language due to its immense power, rich libraries and built in features that make it easy to tackle the various facets of Data Science.

In the Data Science with Python training you will gain new insights into your data and will learn to apply data science methods and techniques, along with acquiring analytics skills. With understanding of the basic python taught in the initial part of this course, you will move on to understand the data science concepts, and eventually will gain skills to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular Python toolkits such as pandas, NumPy, matplotlib, scikit-learn, and so on.

So lets begin your journey to becoming a top data scientist.

Who is this course for?

1. College Freshers
2. Anyone who is willing to learn data science in simple and easy steps using Python as a programming language

Course Content

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Course Includes

  • 12 Lessons
  • 193 Topics
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