Have any question? 9988776655

Python Programming for Data Science

ICT Course Duration: 3 Weeks

This Diploma Program in Python has been developed by industry experts to help you learn the basics and advance term of Python programming for data science. It has been designed for fresh graduates and working professionals looking to build their career in Data Science.

Fee - Rs. 6000/-

COURSE DESCRIPTION (Course Type - Diploma)[Note: The program comes in two formats: weekday format for fresh graduates and weekend format for working professionals.]

COURSE LEARNING

Upon completion of this course, you will be able to:

MODULE 1 - PYTHON INTRODUCTION

Introduction to Python | Variables | Functions | Python Operators | Python Flow Controls |

Conditional Statements | Loops

MODULE 2 – ADVANCE PYTHON FOR DATA SCIENCE

Python Collection Objects: Strings, List, Tuple and Dictionary | List Comprehension | User de­fined Functions | Function Arguments | Lamda Functions

MODULE 3 – PYTHON FOR DATA ANALYSIS

Introduction to Numpy | NumPy Array | Creating NumPy Array | Array Indexing | Slicing Arrays | Array Operation | Iteration through Arrays

Introduction to Pandas | Pandas Series | Creating Pandas Series | Accessing Series Elements |

Filtering a Series | Arithmetic Operations | Series Ranking and Sorting | Checking Null Values |

Concatenate a Series

Pandas Dataframe - Introduction | Dataframe Creation | Reading Data from Various Files |

Understanding Data | Accessing Dataframe - elements using Indexing |Dataframe Sorting |

Ranking in Dataframe | Dataframe Concatenation | Dataframe Joins | Dataframe Merge |

Reshaping Dataframe | Pivot Tables | Cross Tables | Dataframe Operations |Checking Duplicates|

Dropping Rows and Columns | Replacing Values | Grouping Dataframe |Missing Value Analysis

& Treatment

MODULE 4 – DATA VISUALIZATION

Visualization using Matplotlib | Plot Styles & Settings | Line Plot | Multiline Plot | Matplotlib

Subplots | Histogram | Boxplot | Pie Chart | Scatter Plot


Course Project

·         DATA ANALYSIS AND VISUALIZATION


Course Duration and Learning pattern

Duration of Certificate – 3 Week

Classes’ distribution – 50% Theory Classes and 50% Implementation


Key Highlights

Assignments Students will receive timely assignment related with course topics.

          Attendance Policy 85%

          Instructor Feedback One can directly report about the feedback of instructor.