Diploma in Business Analytics

100% JOB Assured with Globally Accepted Certificate

Eligibility: Diploma/BBA/B.Com.

Intermediate

Overview

Business Analytics Course

Business Analytics Course

Unlock the power of data-driven decision-making with our comprehensive Business Analytics Course. Dive into the world of business analysis, statistical modeling, and data visualization. Master the use of popular tools and techniques for data extraction, cleaning, and analysis. Gain practical experience through hands-on projects and real-world case studies. Our industry-experienced faculty will guide you every step of the way. 

In Diploma Certificate Course In Business Analytics, you will learn a diverse set of skills and knowledge essential for analyzing and interpreting business data. You will learn Database Management, Data Collection and Cleaning, Exploratory Data Analysis, Statistical Analysis, Data Visualization, Predictive Analytics, Machine Learning, Tableau and Industry case studies.

Unleash Success with our Certificate Course in Business Analytics

In this course you will gain an understanding of database concepts and learn to extract, manipulate, and query data using SQL.  Acquiring hands-on experience with popular data analytics tools such as Excel, Python, and Tableau, enhancing your ability to work with and analyze data efficiently.

By completing Business Analytics Course at Cranes Varsity in Bangalore, you will develop the skills necessary to work with data effectively, uncover valuable insights, and make data-driven decisions. These skills are highly sought after in various industries, including finance, marketing, healthcare, and more, opening up diverse career opportunities as a data analyst, business intelligence analyst, or data scientist.

Our dedicated career support ensures job placement, connecting you with leading companies in the leading industries. With our strong industry connections, we provide dedicated career support and ensure job placement in leading organizations. Enroll now and pave your way to becoming a highly skilled Business Analyst.

Project stream:

  • Application development based on Data Structure (Eg: Flood fund releasing data, cyber management systems, Bank management system, contact management system)
  • Embedded Project development using wired/wireless technology such as GPS, GSM, BLE, Wi-Fi, and sensors

Business Analytics Course Modules

Generic

Relational Database - SQL – 10 Days
  • Introduction to databases and RDBMS,
  • Database creation, concept of relation and working examples Creating tables.
  • Design view of the table, Alter table operations & Key Constraints
  • Read, update and delete operations on tables. Working with nulls
  • Querying tables: Select statement, examples and its variations
  • Filtering, Sorting, Predicates and working examples
  • Joins in SQL and working examplesInsert, Update, Delete operations and working examples Scalar functions in SQL and working examples
  • SQL set based operations and data aggregation
  • Sub-queries in SQL  
  • Normalization and de-normalization: Views and Temporary tables
  • Transactions in SQL
  • SQL programming
  • Creating stored procedures, Cursors in SQL
  • EBS(Elastic Block Storage),VPC
  • EBS volumes and Snapshots
  • RDS
Python Programming - 10 Days
  • Introduction to Python
  • Python Data types and Conditions
  • Control Statements
  • Python Functions Default arguments
  • Functions with variable number of  args
  • Scope of Variables
  • Global specifier
  • Working with multiple files
  • List and Tuple
  • List Methods
  • List Comprehension
  • Map and filter functions
  • String
  • List comprehension with conditionals
  • Set and Dictionary
  • Exception Handling
  • File Handling
  • Business Analytics Specialization
Exploratory Data Analysis with Pandas- 10 Days
  • NumPy
  • Vectorization
  • Broadcasting
  • Slicing of Matrices
  • Filtering Array Creation Functions
  • NumPy Functions across axis
  • Stacking of arrays
  • Matrix Calculation
  • Pandas Series
  • Data Cleaning
  • Handling Missing Data
  • Pandas Data frame
  • Selection Data (loc, iloc)
  • Filtering Data Frames
  • Working with Categorical Data
  • Grouping & Aggregation
  • Merging Data Frame(concat, merge)
  • Sorting Data Frames
  • Importing csv files
  • Importing Excel Files
  • Creating graphs using Matplotlib
  • Customizing Plots
  • Saving Plots
  • Scatter Plot, Line Graph
  • Bar Graph, Histogram
  • Subplots
  • Seaborn
  • Matplotlib
Foundational Statistics - 5 Days
  • Logarithm
  • Python Scipy Library
  • Mean Absolute Deviation,
  • Standard Deviation
  • Probability and Distribution
  • Normal Distribution and Z Score
  • Descriptive and Inferential Statistics
  • Binomial Theorem
  • Visualizing Data
  • Mean, Median, Mode
  • Hypothesis testing
  • Variance: ANOVA
  • Percentile,
  • Inferential Statistics
  • Statistical Significance
  • Log Normal Distribution
  • Chi-square test, T test
  • Data Preprocessing
  • Standardization and normalizationOrdinal, frequency encoding
  • Transformation
Foundational Machine learning – 7 Days
  • Understand what is Machine Learning
  • Regression
  • Logistic regression
  • Supervised machine learning
  • Simple linear regression
  • Naïve Bayed Classification
  • Unsupervised machine learning
  • Multiple linear regression
  • Decision tress and its types
  • Train test split the data
  • Performance measure for regression
  • K Nearest Neighbour Classification
  • ML Workflow for project implementation
  • MSE, R-Squared, MAE, SSEPerformance Measure for Classification
  • Classification Various types of classificationAccuracy,
  • Recall, Precision, Fmeasure
Data Analysis and Visualization Using Tableau –7 Days
  • Tableau Introduction
  • Traditional Visualization vs Tableau
  • Tableau Architecture
  • Working with sets
  • Creating Groups
  • Data types in Tableau
  • Connect Tableau with Different Data Sources
  • Visual Analytics Parameter Filters
  • Cards in Tableau Charts, Dash-board
  • Joins and Data Blending
  • Tableau Calculations using Functions
  • Building Predictive Models
  • Dynamic Dashboards and Stories
Data Analysis and Visualization Using Excel –7 Days
  • Introduction to excel
  • Viewing, Entering, and Editing Data
  • Introduction to Data Quality
  • Intro to Analyzing Data Using Spreadsheets
  • Converting Data with Value and Text
  • Apply logical operations to data using IF
  • Charting techniques in Excel
  • Interactive dashboard creation
  • Data analytics project using Excel

Data Analytics Specialization

Hiring Partners

FAQs

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

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.

SQL, Python programming, Microsoft Excel, Tableau, statistical analysis, and basics of machine learning

NO, programming knowledge is not mandatory but having one is an advantage.

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.

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