Accounting Information Analytics Specialization

WHAT YOU WILL LEARN

• Know easy methods to function software program that can enable you create and run Python code.

• Execute Python code for wrangling knowledge from totally different buildings right into a Pandas dataframe construction.

• Run and interpret elementary knowledge analytic duties in Python together with descriptive statistics, knowledge visualizations, and regression.

• Use relational databases and know easy methods to manipulate such databases instantly via the command line, and not directly via a Python script.

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SKILLS YOU WILL GAIN

• Machine Studying
• Python Programming
• Information Visualization (DataViz)
• Information Preparation
• Exploratory Information Evaluation
• Information Evaluation
• Predictive Analytics
• Information Structure
• coding
• Linear Regression
• SQL
• Textual content Evaluation

About this Specialization

This specialization develops learners’ analytics mindset and information of knowledge analytics instruments and methods. Particularly, this specialization develops learners’ analytics expertise by first introducing an analytic mindset, knowledge preparation, visualization, and evaluation utilizing Excel. Subsequent, this specialization develops learners’ expertise of utilizing Python for knowledge preparation, knowledge visualization, knowledge evaluation, and knowledge interpretation and the flexibility to use these expertise to points related to accounting. This specialization additionally develops learners’ expertise in machine studying algorithms (utilizing Python), together with classification, regression, clustering, textual content evaluation, time sequence evaluation, and mannequin optimization, in addition to their capacity to use these machine studying expertise to real-world issues.

Utilized Studying Venture

Tasks included on this specialization enable learners to use the talents developed throughout the knowledge analytics specialization to real-world issues. Learners will have the ability to articulate the overall technique of the CRISP-DM framework, display knowledge analytics expertise in knowledge preparation, knowledge visualization, modeling, and mannequin analysis, and apply knowledge analytics information and expertise to real-world issues. For instance, within the capstone challenge, learners will develop a machine studying mannequin in an effort to predict whether or not a mortgage is to be totally paid and assemble a mortgage portfolio with the assistance of the evaluation.