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- Data summarisation
- Various types of data
- Frequency table
- Histogram
- Frequency distributions
- Central tendency and dispersion measures
- Kurtosis and skewness
- Normal distribution
- Conditional probability, basic probability
- Sampling methods
- Central limit theorem
- Interval and point estimation
- The alternative and null hypothesis
- P-value
- Level of significance
- Hypothesis testing
- Types of errors
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- Business Analytics Course with Python
Business Analytics Course with Python
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course overview
In the 21st Century, Business Analytics Course with Python (BA) and its associated topics, like Big Data, Business Intelligence, Data Science, Data Mining, etc. have become increasingly popular. To learn these comprehensively, choose the Business Analytics Course with Python Certification from IMS Proschool & NSDC. Rife with immersive learning tools, industry projects, in-depth content, and valuable certifications, it’s the ideal option to master BA.
The Business Analytics certification syllabus constitutes vital concepts such as regression techniques, statistical techniques, applied Machine Learning, and predictive analysis. It also includes hands-on projects and essential tools to make you holistically fluent in Business Analytics. What’s more, you’ll learn all these from current industry experts.
IMS Preschool’s Business Analytics programme offers two certifications - a completion certificate upon finishing the internal evaluations and an optional one by NSE Academy. The latter one will require you to clear NSE Academy’s examination. There are three learning options - a Classroom programme (offline) during weekends, a Live Virtual Classroom option, and a free webinar.
The highlights
- Programme available in online and offline modes
- 15-week curriculum
- Free webinars offered
- Industry projects
- Internal assessments and exams
- NSE Academy’s certification (optional)
- Completion certificate awarded
- IMS Proschool and NSDC’s joint accreditation
- On-demand batches
- Training by industry experts
- Industry-relevant learning tools
- Hands-on learning through projects
- Case studies
- No joining prerequisites
Program offerings
- Joint certification
- Expert guidance
- Active learning methodologies
- Case studies
- Industry projects
- Free webinars
- Nse academy’s optional certificate
- Online/offline learning
Course and certificate fees
certificate availability
Yes
certificate providing authority
National Stock Exchange of India Ltd +2 more
Who it is for
Since there are no enrolment criteria, the Business Analytics Course with Python with Certification from IMS Proschool & NSDC is for one and all.
Eligibility criteria
There are no enrollment criteria. Anyone can join the Business Analytics Course with Python with Certification from IMS Proschool & NSDC.
Certification qualifying details
Completing all the internal quizzes, assessments, and end examinations will make you eligible for the Business Analytics Course with Python certification by IMS Proschool and NSDC. For NSE Academy’s certificate, you must clear their exam.
What you will learn
Statistical skills
Machine learning
Business analytics knowledge
Once you’ve finished the Business Analytics Course with Python syllabus, you will be adept in: -
- Business Analytics concepts and essentials
- Statistical techniques, including data types, P-value, error types, hypothesis testing, etc
- Regression techniques, including logistical regression, multiple linear regression, etc
- Applied Machine Learning
- Predictive analytics
- Tools, such as Python, R, Excel, Tableau, SQL, etc
The syllabus
Statistical Techniques
Regression Techniques
Linear and Multiple Linear Regression
- R2 and adjusted R2
- Multiple and simple linear regression
- ANOVA
- Dummy variables
- Interpretation of coefficients
- Outliers
- Residual analysis
Logistic Regression
- Assumptions
- Chi-square
- Logistic function
- Hosmer Lemeshow test
- Classification table
- Kolmogorov-Smirnov chart and statistic
- Dependent variable prediction
- Interpreting coefficients
Predictive Analytics
- Time series
- Principles of forecasting
- Casual models
- Moving average
- Forecasting methods - characteristics and types
- Exponential smoothing
- Seasonality
- Trend
- ARIMA
- Cyclicity
Applied Machine Learning
Classification
- Bayes methods
- Decision Tree induction
- Rule-based classification
- Ensemble approaches
- Model selection and evaluation
- Random Forest
Clustering
- Hierarchical methods
- Partitioning methods
- Grid-based methods
- Density-based methods
- K-means method
- Evaluation of Clustering
Tools
Excel
- Excel formula function’s use
- Formatting of Excel sheets
- Data sort and filter
- Graphs and charts
- Scenario-building and table formula
- Lookups
- Pivot tables
Python and R
- Writing and reading data
- Data types
- Data manipulation
- Important packages
- Optimising and evaluating models
- Building models via learning algorithms
Tableau (Data Visualisation Tool)
- Dimensions, data preparation
- Extracting data into Tableau
- Creating views
- Transformation of variables
- Exporting visualisations
- Working with charts
SQL - Introduction to Databases
- Introduction to database
- Terminologies - fields, tables, records
- Introduction to SQL
- Table creation in SQL - insert, drop, create, update, and delete
- SQL syntax
- SQL operators
- SQL data types
- Select with Where Clause (logical operators, in between, wild cards, group, order)
- Concepts of Join - outer, inner
Projects
Admission details
- You can log in or register on the official link.
- Scroll down on the course portal to where the three learning options are displayed.
- For the ‘Live Virtual Classroom’ or ‘Classroom Programme’ options, select the ‘Learn More’ button and login/register to proceed. For the Free Webinar, tap the ‘Register Here’ option and follow the on-screen instructions.
- Whether you choose the online or the offline programme track, you must complete its payment to enrol successfully.
Filling the form
The enrolment procedure for the Classroom Programme and the Live Virtual Classroom option includes an admission form fill-up. If you’re already registered on IMS Proschool, you can skip this and simply log in via your email and password. If not, you must register through the application form, which requires your details such as full name, gender, learning mode preference, email address, district, state, highest qualification, date of birth, contact number, etc.
How it helps
Apart from a valuable joint certification, the Business Analytics Course with Python benefits include mentorship by industry experts, active learning methodologies, learning essential tools, a free webinar, and working on diverse industry projects. Moreover, you can also attempt and clear NSE Academy’s exam to obtain their certificate and further strengthen your portfolio.
FAQs
Are there any requirements for obtaining admission?
No. IMS Proschool doesn’t require any criteria to enrol in the Business Analytics Course with Python. However, if you’re comfortable with data, data formats and know about statistics and maths, they’re a bonus.
What type of industry projects will I work on?
The course entails industry projects, sector-wise. For example, you’ll work on a ‘Credit Analysis of HSBC’ project, which belongs to the banking sector.
Is the exam mandatory?
This depends on the certification. The Business Analytics Course with Python completion certificate requires you to complete the internal assessments and exams. However, the NSE Academy’s examination is optional, which you can clear to gain the certification.
How many free webinars are available?
You can attend one free webinar.
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