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APPLIED BUSINESS ANALYTICS
Learn from IIMC,ISI Alumini And Industry Experts.
Learn from IIMC,ISI Alumini Industry Experts with hands-on exercises & Project work. trained on Python-R-SAS-SPSS-DataIKU-Tabluea -Qlik sence tools
LEARN CONTENTS
Modules overview
REACHOUT ANALYTICS offers an ideal and holistic programme to equip business executives and software professionals with the theory and skills required to excel in today’s increasingly dynamic and data-driven business ecosystem.
- Descriptive Statistics
- Data Type
- Central tendency
- Data Dispersion
- Five Number Summary
- Data Distribution
- Discrete Distributions
- Binomial Distribution
- Poisson Distribution
- Continuous Distributions
- Uniform Distributions
- Normal Distributions
- Exponential Distributions
- Data Normalization.
- Normality with PP plot QQ plt Data Standardization
- Data ,Min Max Scaler
- Log transformation
- Sqrt transformation
- PCA Dimension reduction
- KNN Euclidean Distance
- Introduction to Data Visualization
- Introduction to Tableau Tableau/Qlik sense/Python
- Basic Charts and Dashboard
- Data base connection with Visualization Tools
- Live Dash boards deployment
- Line chart, Bar chart, Pie chart, Scatter plot Bubble chart
- Histogram Boxplot Cross Tabulation
- Gauges, KPI, Integrations,
- System define Functions, User define Functions, Filters
- Identifying a business problem
- Creating a hypothesis to solve the business problem
- P-value method Critical value method T distribution
- Testing the hypothesis through analysis
- ANOVA, Test, Chi-square Test
- MANOVA, Ordinal, Nominal Data testing
- Interpreting the results of the analysis
- Liner Regression,
- Dummy Regression,
- Transformed Regression,
- Stepwise, regression
- Backward, Forward Regression
- Logistics Regression,
- Ordinal Regression, Multinomial Regression,
- Factor Analysis PCA Dimension reduction
- Cluster and profiling
- Navie model
- Moving Averages
- Weighted Moving Averages
- Exponential Smoothing
- Holt-Winters Model
- ARIMA Models
- Association Mining,
- Market Basket Analysis
- Recommendation System
- Confusion Matrices
- APE, MAPE, RMSE
- AIC BIC AICC
- ROC, AUC,
- Recall, precision specificity sensitivity,
- Classification Misclassification
- Conceptual preliminaries
- Basic descriptive text analytics
- Sentiment mining in text analytics
- Social Network Analysis (SNA)
- Business insights from Models data
- Model deployment with open-source tools
- Model visualization summarization on Tableau Power BI , Qlik Sense tools
Capstone assignment
Course Fee
Classroom
- Live Classes from IIT Faculty
- Dedicated Learning Manager
- Job Assistance
- Job Assistance
- Job Assistance
SAT - SUN
08:00 PM TO 11:00 PM
IST (GMT +5:30)
MON - TUES
08:00 PM TO 11:00 PM
IST (GMT +5:30)
WED - FRI
08:00 PM TO 11:00 PM
IST (GMT +5:30)
₹99,999
OVERVIEW
Start your Data Science Learning in Reachout Analytics
REACHOUT ANALYTICS is a top-ranked celebrated provider of stimulating and results-oriented high-quality data analytics solutions and data science education.
Key Highlights
50+ Live sessions across seven months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Hyd Faculty & Industry Practitioners
1:1 with Industry Mentors & 24*7 Support
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IIT Hyd
No Cost EMI Option
Your Data Science Summed Up
Study model
REACHOUT ANALYTICS has a massive intellectual capital led by a team of competent expert professionals who blend theory and practice, leveraging their rich hands-on field experience in data science-related projects; thus, the quality and proficiency are combined and embedded in every project and training programme handled.
Study duration & extension
REACHOUT ANALYTICS leverages the unparalleled resources accumulated over time and guarantees clients and learners a wholesome experience of quality, intensity, relevance and challenge. We are bold, innovative and transformative. Our commitment and expertise place us in a select group of institutions in the country
Accreditation
REACHOUT ANALYTICS ranks number ONE in imparting training in the country.
100% International
Data science is relatively new and the most in-demand discipline in the business ecosystem.
9999+ students
Data science is a multidisciplinary field that deals with collecting, processing and analysing both structured and unstructured digital data to uncover trends and patterns and obtain insights to derive inferences for making informed decisions.
96% Recommendation rate
Data science applications have diverse uses and purposes, such as predicting and preventing future problems, identifying trends and potential gaps to unleash creative solutions for greater customer satisfaction, detecting fraud, and gathering customer feedback to design new products and services, among many others.
Mentors
Data Science Projects
Practice Essential Tool
Designed By Industry Experts
Get Real-world Experience
Peer Learning
Career Services
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Data Science Certification
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Course Reviews
Data Science Training FAQs
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