Diploma in Business Analytics
100% JOB Assured with Globally Accepted Certificate
Intermediate
Overview
Business Analytics Course
Description
Business analytics is a useful tool in the modern economy. Organizations generate huge amounts of data across industries, increasing the demand for data-literate employees who can read and analyze that data. The Diploma in Business Analytics by Cranes Varsity provides a gateway to Engineering Students,working professionals, and Corporate, as we see the growth and in-demand domain for Business Analytics
The 3.5-month Diploma in Business Analytics curriculum offers comprehensive Business Analytics knowledge and proficiency. To be a business analyst you should be good at analytical skills, and handling data, and also one should have hands-on knowledge of the latest tools and software relevant to Business Analytics. Cranes Varsityās Business Analytics course provides the learner with all necessary tools, software, and skill sets required to master business analytics.
Cranes Varsityās Diploma in Business Analytics is designed to cater to the Non-Engineering Graduate students and also to the Working professionals from any domain. This does not necessitate any prior knowledge of Business Analytics and/or software programming.
What will you learn in business analytics?
The Diploma in Business Analytics course is split into various modules, students will go through these modules stage by stage with regular assessments. Modules covered include Databases management with SQL, Python programming, and Data analysis using EXCEL and TABLEAU, along with this students will also learn statistical analysis techniques and basic Machine learning concepts.
After completing the course, you’ll have the ability to think like a business analyst, describing, predicting, and informing business decisions in the specific areas of marketing, human resources, finance, and operations. You’ll also have a basic understanding of data, as well as an analytical mindset that will aid you in making strategic decisions based on data.
The program content duration is for 280 hours which is designed by industry experts to be catered to the current needs of the industry. The content curated is best-in-class by leading faculties and industry leaders in the form of videos, case studies, and projects. The classroom sessions are instructor-led offline or online live mentorship sessions. Learners will expose to industry-relevant capstone projects during the Business Analytics course. Our Mentors are industry professionals who deliver real-world insights and have the enthusiasm to drive you as a student. They suit to your domain and experience level.
Cranes Varsity assists learners in establishing a strong career in the core domain that is aligned with their goals. We aim to improve teaching and learning processes by utilizing technology tools, whether for skill enhancement or placement of students.
Business Analytics Course With Placement
We offer the highest quality teaching, assessment, and placement support through our Business Analytics courses. To support the students in cracking the interviews, Cranes Varsity provides resume building & interview readiness through defined Soft skills and Aptitude training from industry experts.
The program is designed to make a novice into an expert, from a learner to a Business Analytics developer. Our industry expert Trainers are multitalented and knowledgeable and have been associated with us for decades.
Candidates completing the business analytics course will get placement opportunities from various industries, such as Information Technology, Insurance and Financing, Business and professional consulting, HealthCare, and many more.
If you want to start a career in Business Analytics and want to acquire Business Analytics Training, Certification, and Placement, Cranes Varsity is the right place to be.
Generic
- RDBMS using MySQL
- Python Programming
- Exploratory Data Analysis using Pandas
Data Analytics Specialization
- Mathematics and Statistics for Data Science
- Machine Learning using sklearn
- Formulating Business Analytics Problems
- Data Analysis and Visualization using Tableau / Power BI
- Data Analysis and Visualization using MS Excel
Projects
- Apply statistical methods to make decisions in various business problems, including bank, stock markets, etc.
- Apply regression
- Apply classification
- Use clustering to cluster banking customers
- Computer vision projects like Face recognition, Image Quality Improvement etc.
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Platform
- Anaconda Distribution Jupyter, Spyder, MySQL
- Tableau, Excel
Business Analytics Course Modules
Generic
Relational Database – SQL ā 10 Days
- Introduction to databases and RDBMS
- Read, update and delete operations on tables. Working with nulls
- Joins in SQL and working examples
- SQL set based operations and data aggregation, Sub-queries in SQL
- EBS(Elastic Block Storage),VPC
- Database creation, concept of relation and working examples
- Querying tables: Select statement, examples and its variations
- Insert, Update, Delete operations and working examples
- Normalization and de-normalization: Views and Temporary tables, Transactions in SQL
- EBS volumes and Snapshots
- Creating tables. Design view of the table, Alter table operations & Key Constraints
- Filtering, Sorting, Predicates and working examples
- Scalar functions in SQL and working examples
- SQL programming, Creating stored procedures, Cursors in SQL
- RDS
Python for Data Analytics – 10 Days
- Introduction to Python
- Python Functions
- Scope of Variables
- List and Tuple
- Map and filter functions
- Set and Dictionary
- Python Data types and Conditions
- Default arguments
- Global specifier
- List Methods
- String
- Exception Handling
- Control Statements
- Functions with variable number of args
- Working with multiple files
- List Comprehension
- List comprehension with conditionals
- File Handling
Exploratory Data Analysis with Pandas – 10 Days
- NumPy
- Slicing of Matrices
- NumPy Functions across axis
- Pandas Series
- Pandas Data frame
- Working with Categorical Data
- Sorting Data Frames
- Creating graphs using Matplotlib
- Scatter Plot, Line Graph
- Seaborn
- Vectorization
- Filtering
- Stacking of arrays
- Data Cleaning
- Selection Data (loc, iloc)
- Grouping & Aggregation
- Importing csv files
- Customizing Plots
- Bar Graph, Histogram
- Matplotlib
- Broadcasting
- Array Creation Functions
- Matrix Calculation
- Handling Missing Data
- Filtering Data Frames
- Merging Data Frame (concat, merge)
- Importing Excel Files
- Saving Plots
- Subplots
Data Analytics Specialization
Mathematics and Statistics for Data Science ā 10 Days
- Logarithm
- Standard Deviation
- Descriptive and Inferential Statistics
- Linear Algebra
- Differential Calculus
- Chain Rule
- Python Scipy Library
- Mean, Median, Mode
- Percentile
- Log Normal Distribution
- PCA: principle component Analysis
- Probability and Distribution
- Binomial Theorem
- Hypothesis testing
- Mean Absolute Deviation
- Normal Distribution and Z Score
- Visualizing Data
- Variance: ANOVA
- Statistical Significance
- Inferential Statistics
- Chi-square test, T test
Machine Learning Using SK-Learn ā 13 Days
- Understand what is Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Data Preprocessing
- Handling missing data
- Onehot Encoding
- Label encoding
- Ordinal, frequency encoding
- Standardization and normalization
- Train test split the data
- K fold cross validation
- Regression
- Simple linear regression
- Multiple linear regression
- Performance measure for regression
- MSE, R-Squared, MAE, SSE
- Feature selection for Regression
- ML Workflow for project implementation
- Classification
- Various types of classification
- Binomial and Bayes theorem
- Logistic regression
- NaĆÆve Bayed Classification
- Decision tress and its types
- K Nearest Neighbour Classification
- Performance Measure for Classification
- Accuracy, Recall, Precision, Fmeasure
- Clustering and types
- Kmeans Clustering
- Evaluate clustering results, Elbow Plot
- Hierarchical clustering
- Project implementation
Formulating Business Analytics Problems ā 10 Days
- Formulate BA problems
- Marketing and Customer analytics
- Financial and risk analytics
- Preparing business presentations with BI tools
- Analytics in Classic Business Problems
- Business Problems with Yes/No Decisions
- Strategy Analysis
- Analytics in Emergent Business Problems
- Churn in business, customer churn analysis
- Business matrices (BCG, Ansoff)
Data Analysis and Visualization Using Tableau / Power BI * ā 7 Days
- Tableau Introduction
- Working with sets
- Connect Tableau with Different Data Sources
- Cards in Tableau
- Tableau Calculations using Functions
- Traditional Visualization vs Tableau
- Creating Groups
- Visual Analytics
- Charts, Dash-board
- Building Predictive Models
- Tableau Architecture
- Data types in Tableau
- Parameter Filters
- Joins and Data Blending
- Dynamic Dashboards and Stories
Data Analysis and Visualization Using Excel ā 7 Days
- Introduction to Excel
- Intro to Analyzing Data Using Spreadsheets
- Charting techniques in Excel
- Viewing, Entering, and Editing Data
- Converting Data with Value and Text
- Interactive dashboard creation
- Introduction to Data Quality
- Apply logical operations to data using IF
- Data analytics project using Excel
Placement Statistics
















































FAQs
What is Business Analytics?
Business analytics uses data to form business insights and recommend changes in businesses, typical people handling this takes are called business analysts.
What are the benefits of this Business Analytics Course?
This course enables you to apply for various job roles like business analyst, data analyst, and business intelligence with high pay packages, your career path will also be bright
Is the Business Analytics Certification Course worth it?
Every company needs business as they coordinate with various teams within the organization to help identify issues and fix them, completing this course enables you to apply for highly in-demand jobs.
What important skills will you learn with this Business Analytics Course?
SQL, Python programming, Microsoft Excel, Tableau, statistical analysis, and basics of machine learning
Is programming knowledge a prerequisite for a Business Analytics Course?
NO, programming knowledge is not mandatory but having one is an advantage.
What projects are included in this Business Analytics Course in Bangalore?
Projects like customer analysis, insurance risk analysis, and also projects related to finance and marketing are included, students are open to choose their own projects.
Testimonials
First of all, I would like to extend my thanks to each and every member of Cranes Varsity. We were taught from the very basics of Embedded Systems Design which made it easier for students from all levels. I would like to extend my vote of thanks to cranes varsity to provide me with numerous opportunities.
Cranes are one of the top embedded training institutes in Bangalore. It has been a wonderful learning experience in Cranes Varsity. The training in every module of embedded systems at Cranes was effective. It provides a good platform for embedded systems. Cranes helped me get a job in the embedded industry.
It was a great experience in Cranes. My dream was to get into the embedded domain. As a fresher, it is difficult to get into the Embedded Design field, but Cranes made a huge difference in my career by giving the best training and placement assistance provided by Cranes. I would like to say Cranes is the best to choose for those who dream of embedded opportunity.
I take this opportunity to thank “CRANES VARSITY”, one of the best-embedded training institutes which are helping students to get into the best company to build their career. I thank all the trainers who enhanced my knowledge in every subject and the placement team for giving me the best opportunities in the field of embedded. Thank you for all your support.
Cranes varsity is the best Embedded Training Institute to learn both practical and theoretical knowledge. It is the best place to gear up your career in a core embedded industry. Management and faculty member support till you get placed. They provided lots of opportunities to me. The embedded Course modules that we learnt here are systematic, and I immensely earned great knowledge.
I am happy for Cranes for giving a platform and providing opportunities for attending the interview. Modules test, Mock test really helps to clear any company written test/ interview. Trainers were excellent at explaining and clarifying the doubts. I am very thankful to Cranes Varsity.
Cranes varsity is the best platform to improve your technical skills in Embedded System Design. Their dedication towards teaching modules and interaction with the students is commendable, which made me achieve good skills for my career growth in the electronics/semiconductor industry.
Happy to say that I am placed in Lekha Wireless. Cranes are one of the best Embedded Training Institutes. The way of teaching in Cranes is good. I thank the management and faculty for the guidance and opportunity.
If not Cranes, I would have been doing a job of not my interest and passion. Cranes provided me with the platform to start my career and knowledge about corporate life and requirements. “Thank you, Cranes” would be an understatement.
Ankita Saigal
Placed in Robert Bosch
Santhosh SM
Placed in L&T Technology
Mayur MN
Placed in L&T Technology
Chandru V
Placed in Avin Systems
Hemanth Kumar
Placed in Caravel Info Systems
Ankit Ahalawat
Placed in AK Aerotek Software
Nithin G
Placed in Moschip Semiconductor
Amitha Pankaj
Placed in Lekha Wireless
Sidharth S
Placed in L&T Technology