Executive Training Program in
Business Analytics
Using Artificial Intelligence / Machine Learning / Data Science
PRACTICAL & job oriented
5 WEEKENDS
30 hours
live
What is Business Analytics?
Business analytics is the use of a set of software applications to build statistical models. Leaders look at data on past business performance, understand the current situation, and predict future scenarios.
Business analytics is the process of looking at the wealth of data of a company that already has at its disposal and using it to make data-driven decisions. It moves beyond just looking at numbers to see what happened. Instead, business analytics also endeavors to give insight into why things happened and suggests what steps to take next.
What are the benefits of using business analytics?
Keeping you on budget & To identify the deviations.
If you’re like most small companies, your marketing budget is tight
Better decision making.
Not sure how to use your marketing budget? Or which keywords are most effective? What about predicting your biggest sellers over the holiday season? Business analytics uses data to inform decisions and improve accuracy, efficiency and response time.
The ability to measure accomplishments against overall goals.
Business analytics gives you a clearer image of goals and objectives.
Staying in the know.
Business owners and marketers can use analytics to track trends, customer behavior and market shifts. This data will allow you to keep on top of things and make changes dynamically when and if supporting data indicates it’s time.
Building efficiency.
Nowadays, the speed at which businesses can garner data is lightning fast. Thanks to business analytics, you can identify any breakdown in progress or performance in almost real-time, saving time, money and resources.
Job Prospects in Analytics field:
A business analytics program equips you with valuable skills to analyze and interpret data, making you an asset to various industries. Here are some potential jobs you can pursue after obtaining a business analytics program:
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Operations Research Analyst: These professionals collect data, create modeling reports, and present information to team leaders. Their goal is to identify areas for improvement and optimize efficiency in production and staffing.
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Market Research Analyst: Market research analysts use data to understand market conditions and trends. They make recommendations on product or service releases and evaluate the success of marketing campaigns.
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Consultant: Consultants work across various industries, helping clients collect and interpret crucial data. They may also assist in upgrading business systems and making recommendations for new products.
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Financial Analyst: Financial analysts focus on accounting and finance reports, providing recommendations to improve revenue and profits.
Remember that a business analytics program opens doors to diverse career paths, including roles as data scientists, supply chain analysts, data engineers, and business intelligence developers. So, explore your interests and choose a path that aligns with your career goals!
Who Choose Thoughtware Analytics?
All the specialization topics are handled by Industry experts, qualified/certified, who have domain related work experience, applied the concepts in their work-place.
Away from tradition academic training by trainers, who have no professional experience, here you will get the first hand experience from the Industry experts
Program Eligibility
Graduates in any discipline with aptitude for Mathematics/Statistics
Basic computer and MS Office knowledge
Program is suitable for all levels, whether you are in final year, freshers looking for job, or at entry/middle level
Looking for change from current domain to Analytics domain
Program Content
Module 1 – Introduction to Business Analytics (1.5 hrs)
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What is analytics?
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Data Science / AI / Machine Learning / Deep Learning
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Big data and its characteristics
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Basics of various algorithms
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Visualization tools
Module 2 – Python for data analytics (6 hrs)
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Conditional & Loop statements
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Functions
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Exceptions handling, types of error
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Modules
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Tuples, lists, dictionaries
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NumPy, Pandas
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Matplotlib
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Importing files in Python
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Seaborn
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Working on datasets (incl preparation, modeling & analysis)
Module 3 – MySQL (3 hrs)
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Introduction
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Fundamental statements
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Refining selection (charts & graphs)
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Database
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Joins & string function
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Functions
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Importing files
Module 4 – Power BI (4.5 hrs)
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Introduction
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Query editor
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Data Models & relationships
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DAX(Data Analysis Expressions)
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Reporting, Case study
Module 5 – Introduction to ML (3 hrs)
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Introduction to machine learning
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Supervised and unsupervised models
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Regression
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Classification
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Clustering – K means
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KNN
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Advanced regression models
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Decision trees
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Ensemble techniques
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Support Vector machines
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Bayesian family algorithms
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Time-series analysis
Module 1 – Data Science basics (2 hrs)
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What is coding?
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Which tools and why?
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Big Data understanding
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Statistics/Mathematics basics
Module 2 – Python for data analytics (20 hrs)
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Is Anaconda/Jupiter still relevant? How Google Collaboratory is replacing it?
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Conditional & Loop statements
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Functions
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Exceptions handling, types of error
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Modules
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Tuples, lists, dictionaries
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NumPy, Pandas
-
Matplotlib
-
Importing files in Python
-
Seaborn
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Working on datasets(incl preparation, modeling & analysis)
Module 1 – Data Science basics (2 hrs)
-
What is coding?
-
Which tools and why?
-
Big Data understanding
-
Statistics/Mathematics basics
Module 2 – Python for data analytics (20 hrs)
-
Is Anaconda/Jupiter still relevant? How Google Collaboratory is replacing it?
-
Conditional & Loop statements
-
Functions
-
Exceptions handling, types of error
-
Modules
-
Tuples, lists, dictionaries
-
NumPy, Pandas
-
Matplotlib
-
Importing files in Python
-
Seaborn
-
Working on datasets(incl preparation, modeling & analysis)
Module 6 – Analytical Applications (12 hrs, Minimum 2 models in each of the below topics will be live, balance will be given as assignments)
Finance Analytics
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Build a credit score card model
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Stock price forecasting
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Portfolio optimization
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Segmentation modelling
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Pricing financial products
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Fraud model
Marketing Analytics
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Product analytics
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Price and promotion analytics
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Customer analytics
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Sentiment and text analytics
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Marketing spend optimization
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Lead score generation
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Co-branding analysis
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Cohort analysis
HR /People / Workforce analytics
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HR analytics
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Workforce analytics
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Recruitment analytics
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Engagement and performance analytics
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Recruitment Analytics (employee churn)
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Absenteeism, incident rate, inactivity rate, severity rate
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Analysis and visualization of HR data
Supply Chain Analytics
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Forecasting models – Holz Winter, ARIMA
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E-commerce Distribution – Supply Chain metrics evaluation using SQL
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Inventory modelling, EOQ, Safety stock, Shortages, using Python, ML
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Vehicle routing optimization, using Python, ML
Duration: 5 weeks, ~ 30 Hrs Program (live)
Day: Sat & Sun (3.00 to 6.00pm) Enrollment under Progress
Mode: Online, Live and Inter-active
Certificate:
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Enrollment certificate - < 80% attendance
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Participation certificate - > 80 % attendance
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Completion certificate - > 80 % attendance + 60% score in final exam (1 attempt)
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Internship certificate - > 80 % attendance + 60% score in final exam (1 attempt) + one project under our guidance
The e-certificates are provided from “Thoughtware Analytics” (a unit of “Thoughtware Training Pvt Ltd”). Validity - life time
Title in the certificate is “Certified Business Analyst”
Training Materials:
All video links, templates etc.. will be provided
Price:
1. 30,000 + GST – Pl contact our team, for best prices only for early-bird, group admission etc
2. Early bird discount is applicable, if payment is made within due date, in single instalment
3. Only e-certificate will be provided
4. This is special promotional price, no refund or adjustment possible.
5. This pricing is for individuals and request for quote, if you need for corporate training
6. Content of the program will be updated regularly, based on market developments and domain experts’ advice
7. This being a short term program, you need to extensively prepare and practice, along with our session, to be successful. Necessary books will be suggested
8. No refund or exchange is possible under any circumstances. Pl make sure you understand the content, scope and methodology, before you enroll
Payment:
Payment from multiple modes possible – UPI, Credit card, Debit card, Internet Banking and Pocket Wallet. Please reach out to us to get the payment link
Program Conducted by:
Lead Trainer:
Mr. Pattabhi Raman, APICS – CPIM, CSCP, CLTD, DDI – DDPP, PMP
Globally recognized Supply Chain expert
Advisers & Consultants
Training Materials:
All Excel/SQL/Python templates/solutions and video recordings link/login will be provided. Recommended books will be suggested
Note:
# All rights reserved. Program content, schedule maybe updated depending on requirements
# All video links, will be valid for limited period. For long term use, you are requested to download to your local system
# The candidate is expected to have latest version of software installed in the system and ready with the system during the program. We will not involve in software installation, during our programs. However, pre-assistance will be provided
# Though we provide placement assistance, we do not guarantee the job
# This Executive program is developed for skill development and are not recognized by any universities and government authorities
Dr PC Gita PhD
Ex- CIPLA, SCI, Protec
Marketing & HR Specialist