Henry Harvin® One of the Highly Rated Data Analytics course by Express Computer
Certified Python Business Analyst (CPBA) course is a focused 32-hours Virtual Instructor-led training and certification program that equips participants to explore, analyze, and solve business problems using popular analytics tools such as Python & Advanced Excel.
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Business Analytics Course with Python enables professionals to understand analytics-based business decision making to drive the company's ROI.
It is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Delivered industry professionals having extensive experience as practitioners of business analytics with international companies. These professionals are also impaneled as domain expert with Henry Harvin® Analytics Academy
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Know the complete offerings of our Business Analytics with Python (CPBA) Course in Oregon
This module will guide the candidate with the knowledge of Analytics. Learn about the different roles in Analytics. Know about the tools and techniques in Analytics. Gain knowledge about Data Science, Data Mining, Statistics, machine learning, and more. Learn about the CRISP Modeling Framework.
This module will help the candidate to gain knowledge about the Python Environment. Learn about Anaconda setup and various IDEs, GIT, and more. Create and Manage Analytics/ML Projects
This module will help the candidate with knowledge of basic programming and data structures. Gain extensive knowledge about Libraries, NumPy, pandas, Matplotib
This module will guide the candidate with the knowledge of Data Processing, Data Manipulation, and Descriptive summary. Know about Group summaries, crosstab, pivot, reshape data and manage missing values. Learn to manage indexes in Pandas, Scaling of data, and more
This module will guide the candidate through the basics of statistics in Business Analytics. Learn extensively about Hypothesis testing, Probability distribution, and Sampling Techniques
This module will guide you through the techniques of Graphical Representation of Data. Learn about the selection of graphs and types of graphs. Manage plot parameters and advanced graphs such as correlations, heatmap, mosaic, and more
This module will guide you through the basic understanding of modeling techniques and Linear Regression. Know about multiple linear regression and its libraries. Learn the metrics of Linear Regressions and its application & assumptions
This module will guide the learner with knowledge of Logistic Regression. Know the metrics of logistic regression. Predict the probability of DV on IV. Know extensively about applications of Logistic regression
This module will guide the candidate with the knowledge of classification in Financial Analytics. Understand the tree from the plot and know about the classification tree. Learn to improve tree accuracy using random forests. Know the applications of decision tree, KNN, Neural Networks, SVM, and more
This module will guide you through the knowledge of Cluster Analysis. Know about the Clustering for grouping data and its types. Learn about extracting data in clusters and application of clustering
This module will guide you through the knowledge of the Association Rule analysis. Learn to apply AR to the grocery store for market basket analysis. Know about the frequent Itemsets and rules and application of AR
This module will guide the candidate through the understanding of Text Mining. Manage unstructured data and extract tweets from Twitter and words for sentiment analysis. Know the application of text mining
Resume Writing Techniques
Know the complete offerings of our Business Analytics with Python (CPBA) Course
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CRISP Modeling
Machine Learning
Data Structure
Graphical Representation of Data
Linear Regression
Logistic Regression
Rule Analysis
Cluster Analysis
Text Mining
Know more about 50+ tools covered in this Business Analytics with Python (CPBA) Course in Oregon
Know more about the value of this certificate in the industry
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Data Analyst
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