Certificate in Data Analytics using Python E -learning

With the increasing demand for data-driven decision-making and the rise of big data, data science has become a critical component of many industries. Python is one of the most popular programmeming languages used by data scientists, supporting object-oriented, structured and functional programmeming paradigms. Therefore, earning a certification in one of the most crucial programmeming languages, such as Python, demonstrates a high level of proficiency in the data science field.

Grant Thornton Bharat’s Learning & Development Academy is pleased to launch its ‘Certificate in Data Analytics using Python E-learning.’ This course is designed to introduce participants to the basics of Python, Python for data science and statistics for Python. Participants will learn how to write basic programmes in Python and understand the fundamentals of the language, including variables, data types, operators and control structures. They will also learn how to use popular libraries such as NumPy and Pandas to manipulate data and create data visualisations.

Learning outcome

The programmeme will focus on:

Providing clarity on Data Analytics techniques to make data-driven decisions
Training participants on logical and critical thinking skills focused on problem-solving to solve real-life problems in Python and other programmeming languages
Teaching participants how to handle massive datasets and derive insights from them using a variety of analytical tools and techniques
Exploring the role of various algorithms in analysis and decision-making
Teaching participants how to creatively present solutions using data visualisation tools

programmeme deliverables

40+ hours of study
Includes 11 hours of training in basic Python
14 hours of training in Python for data science
7 hours of stats for Python
3 hours of other study material and assessments
5 hours of case studies
- Case study 1: Black Friday data analysis (up to 1.5-2 hours)
- Case study 2: Bank marketing data analysis (up to 1.5-2 hours)
- Case study 3: Customer churn analysis (up to 1.5-2 hours)
Two-way communication and query resolution from an expert
Grant Thornton Bharat presentations as course materials
Case studies
Quiz and final assessment
LMS access for one year
Certificate of completion

Features of E-learning and LMS

Query resolution within 24 hours
Flexibility – learn anytime from anywhere
Cost-effective
Accessible on mobiles and tablets
Two-way communication through ‘Ask an expert’
Offers remote learners an engaging learning experience

Who should attend

Professional managers
Accountants
Data analysts
Project development managers
Business intelligence managers
Financial planners
Statisticians
Business analysts

programmeme coverage

Succeed in your career with our certification, which covers the key aspects of Python programmeming.

Basic Python

Getting started with Python
Data and information management with Python Containers in Python
Conditional statements and control structures
Functions in programmeming
Functional programmeming in Python
Exceptions handling in Python
Python advanced topics
Python projects to check the knowledge
File handling and other OS interactions

Python for data science

Lecture on introduction to NumPy and Pandas Series
Data manipulation in Pandas DataFrame
Sorting and merging of data
Working with dates
Working with data flaws
Text analytics in Python
Master Pandas descriptive analytics
Pandas internal commands
Working with different kinds of data
Visualisation in Python
Visualisation in advance graphs
Understanding Seaborn from scratch
Advance Seaborn graphs
Exploratory Data Analytics case study

Stats for Python

Introduction to statistics part 1
Introduction to statistics part 2
Introduction to statistics part 3
Probability basics
Probability advanced concepts part 1
Probability advanced concepts part 2
Hypothesis setting
Linear regression
Regression technique in statistics part 2

Fees

programmeme fees: INR 16000 + taxes

Cancellation and refund policy

The refund policy in case of withdrawal of nomination would work as follows:-

A refund of 50% of the fee would be provided for cancellation requests received up to five working days before the training start date
Participants who cancel in less than five working days or do not show up on the training date are liable to pay the full course fee and would not be entitled to refunds

Cancellations must be made via emails only. However, desirous participants can be accommodated in future batches of the programmeme without paying an extra amount. It is requested that the willingness to attend any future programmeme should be communicated at the earliest convenience.