Business Analytics 360 Course

BY
Analytixlabs

Get trained with the various business analytics tools and develop your skill from the fundamental to the advanced level with the business analytics 360 courses.

Mode

Online

Duration

315 Hours

Fees

₹ 37760

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends
Learning efforts 8-10 Hours Per Week

Course overview

The business analytics 360 courses is designed and provided by the online education provider platform Analytixlab partnered with IBM for the dual certification. This online program is scheduled for the students in three different modes that include live sessions, online learning, or self-study. The modules are taught through thirty-three classes which will require the students to spend three-sixty hours.

The course study is about the primary statistical concepts and principles to the advanced level of analytics along with the predictive modeling strategies. The candidates can upskill themselves to establish their career associated with business analytics and counter real-world challenges. 

The interactive sessions and doubt resolution support the students and aid in their experiential learning of data science and business analytics. The business analytics 360-course training helps the candidates gain professional guidance for career development. The course modules consist of assignments and capstone projects, which ought to be completed by the candidates to receive the certification.

The highlights

  • Online mode
  • Interactive virtual sessions
  • Self-study program
  • Recorded lectures
  • Demo session 
  • 360 hours training program
  • 33 classes
  • Capstone projects
  • Classroom and Bootcamp
  • Career guidance
  • Job referrals
  • Profile building
  • Testimonials
  • Certificate

Program offerings

  • Course lectures
  • Recordings
  • Assignments
  • Case study
  • Basic exercises
  • Demo session
  • Technical skills
  • Loan assistance
  • Projects
  • Profile building
  • Job referrals
  • Career guidance
  • Certificate.

Course and certificate fees

Fees information
₹ 37,760

The business analytics 360-course training is available for the students in three different modes with the respective amounts of payments and the course fee can be paid in three installments.

Business analytics 360-course fee structure

Classroom & Bootcamp

Rs 109000  + taxes

Fully Interactive Live Online

Rs 109000  + taxes

Blended eLearning

Rs 85000 + taxes

certificate availability

Yes

certificate providing authority

Analytixlabs

Who it is for

The business analytics 360 course is for individuals with qualifications in fields such as engineering, mathematics, finance, and business management. The insights gained from this training will help the students develop their careers in the domain of analytics and data science as business analysts, project managers, or data scientists.

Eligibility criteria

Certificate qualifying details:

The participants of the ‘Business Analytics 360 course’ online program are provided with the Analytixlab certificate after the completion of the mandatory projects and assignments. 

What you will learn

Analytical skills Knowledge of big data Business analytics knowledge Data science knowledge Knowledge of data mining Knowledge of excel Knowledge of python R programming

The Business Analytics 360 course syllabus is framed for the students who have no background knowledge of business analytics to begin their career in the field of analytics. The data science skills associated with data visualization, descriptive and predictive analytics are utilized by the professionals to make wise decisions in business. The Business Analytics 360 course training offers the students insights that aid project management, analyzing risks, evaluation of the digital and social networks and business operations. The analytical skills for the functional domains like banking and finance, retail and e-commerce, pharma, healthcare, telecom, and networks.

The syllabus

Module 1 - Introduction to Analytics & Life Cycle of Data Analytics Projects

  • What is Analytics, Data Science, and AI? – Definition
  • Difference between Business Analytics, Data Analytics, Data Science vs. AI
  • Types of data (Structured vs. Unstructured vs. Semi-structured)
  • Understand the impact and use of data analysis based on the real-world examples
  • Stages of Analytics (Introduction to types of data analysis – Descriptive vs. Diagnostic vs. Predictive vs. Prescriptive vs. Cognitive)
  • Analytics Methodology & problem-solving framework (Steps to solve a Data Analysis problem.) – Life Cycle of Analytics Project
  • What is AI, GenAI, Agentic AI?
  • The role of AI in Data analytics
  • The applications of AI in day-to-day work?
  • How is AI changing the roles over time?
  • Expectations from the Employers

Module 2 - RDBMS - SQL

  • Basic RDBMS Concepts (ERD, Data Modeling, Schema, Normalization, ETL, etc..)
  • Introduction to MySQL Server
  • Overview of SQL Commands (Overview of DDL, DML, DCL, DQL), SQL Syntax basics, Operators, Order of execution etc.
  • Data-based objects creation (DDL Commands – Data Gathering – CRUD Operations)
  • Data manipulation (DML Commands) & DQL (Data Query), Data Preparation & Analysis (Data Aggregations & Summarizations)
  • Accessing data from Single & Multiple Tables using SELECT statement & Clauses, inbuilt functions
  • Advanced SQL (Advanced Joins, Subqueries, Window Functions, Views, CTEs, Stored Procedures etc.)
  • Integrating SQL for Analytics (Databases & Schema, Python integration)
  • AI-Powered SQL & Optimization (AI-Assisted Querying and Optimization)

Module 3 - Visual Analytics & Dashboarding using Power BI

PowerBI
  • Introduction to Data Visualization concepts, BI, Power BI
  • Data Preparation and Modelling (Power Query) – Extracting data from various sources, Load Data Model – Manage Relationships
  • Data Analysis Expressions (DAX)
  • Reports Development (Basic & Advanced Visuals in Power BI) – Types of visuals, mapping charts with analysis, and chart formatting
  • Data-Driven Story Reports
  • Creation of Dashboards – Wire Frames, Slicers, Filters, Tooltips, buttons – KPI-Based Dashboarding – E-commerce Case
  • Advanced / Other Power BI Concepts (Parameters, Dynamic measures, Insights presentation etc.)
  • Power BI Analytics
  • Publishing workbooks and Workspace
  • Overview of Power BI Service
  • AI-Enhanced Presentations or design of dashboard with ChatGPT/Claude

Module 4 - Foundations of Programming Logic

(Python Core Programming)
  • Introduction to Python for Data Science
  • Essentials of Python Programming (Environment, IDE’s, syntax rules, objects, indentation, comments, assignment rules, file handling, etc.)
  • Data Types (numeric, string, date time, etc.) & Operators-Operands, Expressions
  • Data Structures (Lists, tuples, dictionaries, sets) – Accessing Data (Indexing & Slicing)
  • In-Built Functions & Methods, Packages
  • Conditional, iterative, or Control Flow Statements (if, ifelse, loops, comprehensions, etc.)
  • User-Defined Functions (args, kwargs), Lambda functions, Classes
  • Error & Exception Handling
  • File Handling
  • AI-Enhanced Coding Fundamentals – AI-Assisted Coding: Pair Programming with ChatGPT

Module 5 - Python for Data Science

(EDA + Visualization)
  • Python Packages for Data Analytics & Data Science
  • Operations with NumPy (Numerical Python) – Operations
  • Mastering data with Pandas
  • Reading (handling diverse data formats), Auditing, Cleansing, Preparing Data with Python & packages (numpy, pandas, datetime, regex, etc.), core techniques in data wrangling (basic & advanced)
  • Python-SQL integration to extract data – performing SQL codes in Python
  • Data Analysis (EDA (Descriptive, Diagnostic) – statistical analysis) using Python & packages (numpy, pandas, datetime, regex, etc.)
  • Data Visualization using Python & packages (matplotlib, seaborn, etc.)
  • AI-assisted coding – AI-Powered Data Wrangling with PandasAI

Module 6 - Applied Statistics

Statistics
  • Statistics Fundamentals
  • Descriptive and Inferential Statistics (Measures of Central tendency, variance, deviation, frequency, symmetry, peakedness, ranking, etc…)
  • Understanding data distributions (Discrete, continuous) & relationships
  • Sampling & Statistical Inference
  • Concept of standard error and the central limit theorem
  • Concept of Confidence Intervals
  • Hypothesis Testing
  • Statistical Methods – Z/t-tests (One sample, independent, paired), ANOVA, Correlation, and Chi-square – Applications – Implementation in Python (scipy-stats module)

Admission details

The admission procedure for the ‘Business Analytics 360 course’ is done online through the Analytixlab website.

Step 1: Go to the course page on the official website of Analytixlab using the link below: https://www.analytixlabs.co.in/business-analytics-data-science-course

Step 2: Choose among the payment options provided and click the respective ‘Enroll Now’ link

Step 3: Fill in the relevant information and complete the registration.


Filling the form

The candidates will have to enter their name, phone number, email address, course name, and city name in the business analytics 360-course registration form.

How it helps

The business analytics 360-course certification enables the candidates to upskill themselves for a career in the field of analytics. The certification helps them in gaining better job opportunities in the data analytics domain and enhances their business decision-making process with the help of the insights acquired. The trainees of this course will gain skills based on MIS reporting analytics, data visualization, data blending, and manipulation, for data mining and analysis along with the techniques of R programming. The business analytics 360 course benefits the students by improving their knowledge on statistical analysis and modeling, predictive modeling, using the software Python for data analysis and reporting analytics.

FAQs

What is the duration of the business analytics 360 course provided by Analytixlab?

The course modules and lectures will take up to 360 hours to complete and the candidates are provided with the flexibility to finish the course in one year.

What is the eligibility for the business analytics 360 course training?

There is no mandatory prerequisite but the students with knowledge in domains like engineering, mathematics, finance, and business management will benefit from the course.

Can I get loan assistance to pay the business analytics 360 course fee?

Yes, there is a facility for loan sanction provided for the students.

Will I get a course completion certificate after finishing the business analytics 360 course?

Yes, after successful completion and evaluation of assignments and projects without plagiarism, you will receive a certificate.

How many projects are included in the business analytics 360 course training?

The course included nine projects.

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