Course Overview

This specialisation helps students gain an understanding of data analytics tools and techniques as well as an analytics mentality. This specialisation specifically teaches learners how to prepare data, visualise it, analyse it using Excel, and cultivate an analytical attitude. Subsequently, this specialisation enhances learners' proficiency with Python for data preparation, visualisation, analysis, and interpretation, as well as their capacity to apply these proficiencies to accounting-related problems.

Additionally, by using Python, this specialisation helps learners improve their proficiency with machine learning algorithms, such as text analysis, time series analysis, clustering, regression, classification, and model optimisation. It also helps them apply these machine-learning techniques to real-world issues.Additionally, by using Python, this specialisation helps learners improve their proficiency with machine learning algorithms, such as text analysis, time series analysis, clustering, regression, classification, and model optimisation. It also helps them apply these machine-learning techniques to real-world issues.

This specialization's projects give students the chance to apply the knowledge and abilities they've gained in the data analytics field to actual issues. Students will be able to explain the overall workings of the CRISP-DM framework, exhibit proficiency in data preparation, data visualisation, modelling, and model evaluation, and apply their understanding of data analytics to practical issues. For instance, as part of their capstone project, students will create a machine learning model to forecast when a loan will be repaid in full and use the information to build a loan portfolio.

What you'll learn

• Data Preparation
• Python Programming
• Linear Regression
• SQL
• Data Visualization
• Predictive Analytics
• Data Analysis
• Coding
• Data Architecture
• Text Analysis

Requirements

• Basic knowledge of accounting.
• A computer or laptop with internet connectivity.
• Learn all about accounting in three months.
• Flexible work schedule.

AccessTo Career Resources with an Accounting Data Analytics Certification Program Course

Enroll Free

Enhanced Employability:

An outstanding Accounting Data Analytics Certification that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a bigger impression on potential employers.

Skill Validation:

Robust validation of your Accounting abilities confirms your ability to do all Accounting Data Analytics-related tasks successfully.

Networking Opportunities:

The Accounting Data Analytics Certification course provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.