Diploma in Business Analytics
100% JOB Assured with Globally Accepted Certificate
Overview
Study Business Analytics and become a game-changer
Description
The connected world we live in today generate huge amount of data. To derive meaningful insights from the data is a skill that is in high demand across industries. The Diploma in Business Analytics by Cranes Varsity is a gateway for Engineering students, non-Engineering graduates and working professionals from any domain to start a flying career in Business Analytics. This course does not necessitate any prior knowledge of Business Analytics and/or Software Programming.
Comprehensive Curriculum
The 3.5-month Diploma in Business Analytics curriculum offers comprehensive Business Analytics knowledge and proficiency. It will empower you with good analytical skills and make you adept in handling data. You will also gain hands-on knowledge on the latest tools and software relevant to Business Analytics.
The Diploma in Business Analytics course is split into various modules and the 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. That apart, students will also learn statistical analysis techniques and basic Machine Learning concepts.
A Business Analytics Course Curated by Industry Experts
Cranes Varsity’s Business Analytics Course is curated industry leaders and leading faculty. It includes videos, case studies and projects. Duration of the course is 280 hours and consists of instructor-led online or offline classroom sessions and online live mentorship. Students will be exposed to industry-relevant capstone projects and by the end of the course will be able to think like a business analyst – describing, predicting and informing business decisions in the specific areas of marketing, HR, finance, and operations. They will also develop an analytical mindset that will aid in making strategic decisions based on data.
Business Analytics Course with Placement
Cranes Varsity assists learners in establishing a strong career in the core domain that is aligned with their goals. 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.
Candidates completing the business analytics course will get placement opportunities across industries including Information Technology, Insurance and Financing, Business and Professional Consulting, and Health Care, among others.
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.
Business Analytics Course Modules
Generic
Relational Database – SQL – 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
Data Analytics Specialization:
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
Foundational Statistics – 5 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
- Ordinal, frequency encoding
- Mean Absolute Deviation
- Normal Distribution and Z Score
- Visualizing Data
- Variance: ANOVA
- Statistical Significance
- Data Preprocessing
- Transformation
Foundational Machine learning – 7 Days
- Understand what is Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Train test split the data
- ML Workflow for project implementation
- Classification
- Regression
- 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
- MSE, R-Squared, MAE, SSE
- Various types of classification
- Logistic regression
- Naïve Bayed Classification
- Decision tress and its types
- K Nearest Neighbour Classification
- Performance Measure for Classification
- Accuracy, Recall, Precision, Fmeasure
Data Analysis and Visualization Using Tableau / Power BI * – 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 – 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
Capstone Project: 5 Days
- Title selection
- Final results
- Dataset Selection
- Report submission
- Interim results
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.