Data Analytics Course in Nagpur with job Assistance

Name: Data Analytics Course Training in Nagpur - 360DigiTMG
Brand: 360DigiTMG
Rating: 4.8 (12561 reviews)

Tools Covered

As Artificial Intelligence and Machine Learning have taken over most of the sectors and industry, everything has become modernized and technologically advanced. The corporate companies and local companies are focusing on data and its analytical applications for expanding their businesses and products. Hence, a Data Analytics Course in Nagpur promises a rewarding career as data analytics is an emerging trend in the current industry. It will help to cover data visualization tools such as Tableau and Power BI, along with programming tools such as PySpark, SQL, NoSQL, R Programming, and so on.

GenAI assistants and models

ChatGPT
Claude
Gemini
Llama
Perplexity

AI-assisted and vibe coding

GitHub Copilot
Cursor
Claude Code
Replit

Agentic AI frameworks

LangChain
Hugging Face
Ollama

Zero-code AI automation

n8n
Zapier
Make

Deploy and MLOps

MLflow
Streamlit
Docker
Databricks
AWS
Google Cloud

Certificate from Industry Leaders

In terms of providing cognitive approaches and consulting services, SUNY is a pioneer.

SUNY invests $6 billion yearly in development and research and has long-standing expertise in data sciences and artificial intelligence.

The goal of 360DigiTMG's partnership with SUNY is to help introduce learners in order integrated blended educational experiences with the aid of our well designed, globally recognised curriculum.

Specialist trainers – highly experienced industry experts and professors from premier engineering and B-schools.

Reputed institute – carries a legacy of training 20,000+ professionals and 10,000+ students from across the globe.

Certifications demonstrate your commitment to the profession and motivation to learn. Instill employer’s confidence in you and catch the attention of recruiters with these certificates.

Data Analyst Course fees in Nagpur

Virtual Instructor-led Training (VILT)

Live online classes - weekends & weekdays
365 days of access to online classes
Avail Monthly EMI At Zero Interest Rate
Lifetime validity for LMS access
20+ live hours of industry Master classes from leading academicians and faculty from FT top 20 universities
Career support services
NASSCOM Certificate: Certification provided at an additional cost.

INR 45,000 INR 32,500

Pay Now

Employee
Upskilling

Employee Upskilling

On site or virtual based sessions
Customised Course
Curriculum with industry relevant use cases
Pre & Post assessment service
Complimentary basic Courses
Corporate based learning management system with team and individual dashboard and reports
Practical exposure through live projects and case studies

Data Analytics Course Overview

360DigiTMG offers the best Data Analytics certification courses in Nagpur. The training program equips you with an apt understanding of data processing tools like Excel, SQL/NoSQL, and Data Visualization tools like Tableau and Power BI. While SQL/NoSQL is used to work with the data stored in the Database Management software, Tableau and Power BI are used in analyzing it and presenting visual stories to end-users. Concepts such as Data Preparation, Data Cleansing, and Exploratory Data Analysis are explored in detail. Influential concepts like Data Mining of Structured (RDBMS) and Unstructured (Big Data) data, with the aid of real-life examples, are illustrated. Advanced Excel aids in data proficiency Concepts and it will help to reduce reduces working hours.

What is Power BI?
Power BI is the perfect tool to convert unrelated sources of data into coherent, visually immersive, and interactive insights. It uses a collection of software services, connectors, and apps to get the work done. Whether your data be an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses. With Power BI it gets easy to connect to different data sources, visualize and understand what is vital, and share. Power BI has numerous elements that all work together, but the below three points are the basic ones.
- Power BI Desktop: As the name suggests is a Power BI application for Windows Desktop.
- Power BI Service: An online SaaS service
- Power BI Mobiles apps: This is an app special for Windows, iOS, and Android devices.

What is Tableau?
Tableau is a very famous and most used Data Visualization tool, and it helps in understanding the trends, insights, and patterns to other connections in Dataset. Its major task is to connect and extract the data from different stored places. Tableau specializes in pulling data from any platform or database. After the initial launch of Tableau, the ready data connectors will allow you to connect to any database. Data extracted by the above process will be connected to the data engine, Tableau desktop. Dashboards are created by Data Analysts or Data Engineer’s using the extracted data and are shared with users in the form of static files. With the help of the Tableau Server, the end-user can access files from all locations.

What is No SQL?
Not only SQL (No SQL) is a form of non-tabular databases that store data differently than traditional data storing databases. The databases change with respective data models. Key-value, wide-column, and graph are popular documents. It provides flexible schemas and scales easily with bigger datasets. No SQL database is used actively with
- Fast-paced agile development
- Storage of structured and semi-structured data
- Huge volumes of data
- Requirements of scale-out architecture
- Application paradigms like microservices and real-time streaming

What isSQL?
If you are dealing with Relational Databases, then SQL is the standard language. It can be used to insert, update, delete and search database records. We can also optimize and maintain the databases with the help of SQL. There are five types of SQL queries that are widely used: Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Transaction Control Language (TCL), Data Query Language (DQL) With the help of SQL users can:
- Access data in RBDMS systems
- Describing data
- It gives you access to manipulate specific data in the database.
- Creating databases and tables
- You can monitor who can use, see and alter the tables.

What is Advanced Excel?
Knowledge in Excel means processing the ability to use spreadsheets, calculations, automation, and tables efficiently to process huge data for businesses. Advance Excel will make this task easier by solving complex things in Excel. For example, it can manage high amounts of data using advanced level functions and excel features like power query, advanced data filters, asap features, power map. Advance Excel aids in data proficiency and reduces working hours.

Learning Outcomes of Data Analytics Training in Nagpur

The main aim of the course is to give you an outlook towards the various techniques used in handling huge data sets via Data Analytics. Learners get to assess the applications of these technologies that are used in storing and processing huge amounts of data. This module instructs the student on the various techniques used to analyze structured and unstructured data, building visual stories using Tableau and or Power BI capabilities. This is the ideal course for professionals who want to acquire in-depth knowledge of daily used Data frameworks. The three-month Data Analytics training in Nagpur will cover the essential tools like SQL, NoSQL, Tableau, Power BI, and Advanced Excel concepts. Students will learn to store, retrieve, manipulate, and analyze large datasets stored in Database management systems like relational database management systems or document-based database systems. They will also be introduced to various concepts to represent the data on the serving layer to show results in easier and readily consumable visual formats. The course contains multiple applied case studies that enable the participants to solve complex business problems improving profitability in their companies.

Work with various data generation sources
Perform load, retrieve, update, and delete the data in RDBMS
Analyse Structured and Unstructured data using different SQL and NoSQL queries
Develop an understanding of row-oriented and document-based database systems
Apply data-driven, visual insights for business decisions
Build dashboards and reports for day-to-day applicability
Develop live reports from streaming data to take proactive business decisions
Use Advanced Excel concepts to represent data for easy understanding

Data Analyst Course Syllabus in Nagpur

Python

1. Python Introduction

Introduction to Python Programming
Installation of Python & Associated Packages
Graphical User Interface
Installation of Anaconda Python
Setting Up Python Environment
Data Types
Operators in Python
- Arithmetic operators
- Relational operators
- Logical operators
- Assignment operators
- Bitwise operators
- Membership operators
- Identity operators
Data structures
- Vectors
- Matrix
- Arrays
- Lists
- Tuple
- Sets
- String Representation
- Arithmetic Operators
- Boolean Values
- Dictionary
Conditional Statements
- if statement
- if - else statement
- if - elif statement
- Nest if-else
- Multiple if
- Switch
Loops
- While loop
- For loop
- Range()
- Iterator and generator Introduction
- For – else
- Break
Functions
- Purpose of a function
- Defining a function
- Calling a function
- Function parameter passing
  - Formal arguments
  - Actual arguments
  - Positional arguments
  - Keyword arguments
  - Variable arguments
  - Variable keyword arguments
  - Use-Case *args, **kwargs
Function call stack
- Locals()
- Globals()
Stackframe
Modules
- Python Code Files
- Importing functions from another file
- __name__: Preventing unwanted code execution
- Importing from a folder
- Folders Vs Packages
- __init__.py
- Namespace
- __all__
- Import *
- Recursive imports
File Handling
Exception Handling
Regular expressions
Oops concepts
Classes and Objects
Inheritance and Polymorphism
Multi-Threading

2. Python Data Structures, Dictionaries & Sets

List Comprehensions
- List comprehension
- Dictionary comprehension
- Enumerate
- Zip and unzip
Generator Expressions
Tuples – Nested, Names, Unpacking
Splitting – Slicing Objects, Ellipsis
Augmented Assignments with Sequences
Build-in Sort Functions
Ordered Sequences with Bisect
Arrays, Memory Views, Deques
Handling Missing Keys
Set Theory, Variations, Operations
Higher-Order Functions
Function Annotations
Functional Programming Packages
- Procedural vs Functional
- Pure functions
- Map()
- Reduce()
- Filter()
- Lambdas
Loop vs Comprehension vs Map
Identify, Equality & References
MySQL db Module
INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations on SQL using Python

3. Python Packages for Analysing the Data

Python Packages
- Pandas – Series, Dataframes
- Numpy – Arrays, Memory, Matrices, Broadcasting, Masked Arrays
- Scipy
- Matplotlib
- Seaborn
- Sklearn (Scikit Learn)
- Statsmodels
Jupyter Notebooks, IPython Notebooks
Data Collection using CSV, JSON, XML, HTML & Scrapping
Data Wrangling
- Understanding
- Filtering
- Typecasting
- Transformations & Normalization
- Imputation
- Handling Duplicates & Categorical Data
Data Summarization
Data Visualizations using Python Packages
- Line Chart
- Bar Chart
- Histogram
- Pie Charts
- Box Plots
- Scatter Plots
- Figures & Subplots
- Additional Visualization Packages – bokeh, ggplot, plotly
Python XML and JSON parsers
Basic Images Processing using Python OpenCV

4. Advance Python Programming

Dates and Times
Binary Data
Pythonic Programming
Exception Handling
- Purpose of Exception Handling
- Try block
- Except block
- Else block
- Finally block
- Built-in exceptions
- Order of ‘except’ statements
- Exception - mother of all exceptions
- Writing Custom exceptions
- Stack Unwinding
Enhancing Classes
Metaprogramming
Developer Tools
Unit Testing with PyTest
Multi-Threading
- Program Memory Layout
- Concurrency
- Parallelism
- Process
- Thread of execution
- Creating a thread
- Joining a thread
- Critical section
- Locks
PyQt
Network Programming
Scripting for System Administration
Serializing
Advanced-Data Handling
Implementing Concurrency
- Asynchronous programming
- The asyncio framework
- Reactive programming
Parallel Processing
- Introduction to parallel programming
- Using multiple processes
- Parallel Cython with OpenMP
- Automatic parallelism
Introduction to Concurrent and Parallel Programming
- Technical requirements
- What is concurrency?
- Not everything should be made concurrent
- The history, present, and future of concurrency
- A brief overview of mastering concurrency in Python
- Setting up your Python environment
Django with REST Webservices
- Client-Server architecture
- Web Application
- Web framework
- Installing Django modules
- Creating first basic Django
- Creating Model classes
- Django Template tags and template programming
- Django rest framework
- Understanding REST Architecture
- HTTP GET, POST
- JSON serialization
- Writing REST API

5. Advance Python Programming: Web Extraction and Serialization

Web Extraction
- Beautiful Soup
- Selenium
Serialization pickling, XML & JSON
- Introduction to Serialization
- Structure and Container
- Pickle Module
- pickling built-in data structures
- byte strings
- binary
- xml parsing and construction - xml
- json parsing and construction - json, simplejson
Logging
- Purpose of logging
- Logging levels
- Types of logging
- Logging format
- Logging Handlers
- Disadvantages of excessive logging
- Custom loggers

Tableau

1. Data Visualization Introduction and Concepts

2. Tableau Introduction and Tableau Architecture

3. Exploring Data using Tableau

4. Working with Data using Tableau including Data Extraction and Blending

5. Various Charts in Tableau (Basic to Advanced)

Eye for Detail - (Tableau Crosstabs), Highlight tables
Comparative Analysis - Bar Graphs, Side-By-Side Bars, Circle Views, Heat Map, Bubble Chart
Composition Analysis - Pie Chart, Donut Chart, Stacked Bar Graph
Trend Analysis - Line Graphs and Area Graphs (Discrete and Continuous)
Hierarchial Data Representation - Tree Map
Correlation Analysis - Scatter Plot
Distribution Analysis - Tableau Histogram, Box and Whisker Plot
GeoSpatial Data Representation - Filled Maps, Symbol Maps, Combination Maps, Polygon Maps
Relative comparison of 2 Measures - Bullet Graph, Dual Axis Chart, Dual Combination Chart, Blended Axis Chart, Bar in a Bar Chart
Pareto Analysis - Pareto Chart
Statistical Control Chart
Tableau Gantt Chart

6. Hierarchies - Tableau Drill Down and Roll Up Features

7. Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort

8. Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters

9. Groups, Sets and Combined Sets

10. Reference Lines, Bands and Distribution

11. Parameters - Dynamic Parameters, Parameter Actions

12. Forecasting - Exponential Smoothing Technique

13. Data Mining Unsupervised Learning - Clustering

14. Calculated fields in Tableau, Quick Table Calculations, LOD Expressions

15. Tableau Mapping Features

16. Tableau - R Integration

17. Tableau Interactive Dashboards, Dashboard Actions, Stories

18. Tableau Certification Orientation

Tableau Desktop Specialist
Tableau Desktop Certified Associate

Power BI

1. What is Power BI?

Power BI Tips and Tricks & ChatGPT Prompts
Overview of Power BI
Architecture of Power BI
Power BI and Plans
Installation and introduction to Power BI

2. Transforming Data using Power BI Desktop

Importing data
Changing Database
Data Types in Power BI
Basic Transformations
Managing Query Groups
Splitting Columns
Changing Data Types
Working with Dates
Removing and Reordering Columns
Conditional Columns
Custom columns
Connecting to Files in a Folder
Merge Queries
Query Dependency View
Transforming Less Structured Data
Query Parameters
Column profiling
Query Performance Analytics
M-Language

3. Data Cardinality and Data Modeling in Power BI Desktop

Managing Data Relationships
Data Cardinality
Creating and Managing Hierarchies Using Calculated Tables
Introduction to Visualization

4. Introduction to DAX

What is Dax?
How to write DAX
Types of Function in DAX
Creating Calculated Measures
Types of Application of DAX

5. Visualizing Your Data

Introduction
Pie and Doughnut charts
Treemap
Bar Chart with Line (Combo Chart)
Filter (Including TopN)
Slicer
Focus Mode and See Data
Table and Matrix
Gauge, Card, and KPI
Coloring Charts
Shapes, Textboxes, and Images
Gridlines and Snap to Grid
Custom Power BI visuals
Tooltips and Drilldown

6. Advance Visualization Visualizations

Page Layout and Formatting
Visual Relationship
Maps
Python and R . Visual Integration
Analytics Pane
Bookmarks and Navigation
Selection pane

7. Power BI Dashboards

Overview of Dashboards and Service
Uploading to Power BI Service
Quick Insights
Dashboard Settings
Natural Language Queries
Featured Questions
Sharing a Dashboard
In-Focus Mode
Notifications and Alerts in the Power BI Service
Personal Gateway Publishing to Web Admin Portal

8. Organization Packs, Security - Working with Others

Introduction
Creating a Content Pack
Using a Content Pack
Row Level Security
Summary

Google Looker Studio

1. Introduction to Google Looker Studio New!

Accessing Looker Studio
Connectors
Creating a Report

2. Working with Data Sources New!

Controlling Data Access
Editing Data Source Schema
Other Common Data Source Operations

3. Creating a Report from Data Source New!

Creating and Publishing Report
Sharing a Report
Creating Explorer
Exporting from Explorer
Using Explorer in analyst WorkFlow

4. Dimensions and Metrics New!

Understanding Dimensions and metrics
Adding Dimensions
Adding Metrics
Sorting data in the chart

5. Looker Studio Built in Charts New!

Tables and Pivot tables
Bar Charts
Time series, Line and Area Charts
Scatter Charts
Pie and Donut Charts
Score Cards
Geographical Charts
Configuring other chart types

6. Implementing Interactive elements - Filter Controls New!

Where to use filters - Reports, Pages, Groups, Filter controls, charts
Understanding editor filters
Adding editor filter
Interactive filter controls
Limitations of Filters
Adding Graphic elements

7. Styling Report Components New!

Background and Border
Text styles
Common chart style properties
Configuring style properties in Report Themes
Adding Design Components
Embedding external content

8. Calculated Fields New!

Operations you can do with Calculated Fields
Data Source vs Chart specific Calculated Fields
Manipulating Data with Functions
Using Branching Logic in Calculated Fields
Creating New Parameters

9. Blending Data New!

Understanding Blends
Data Source vs Blends
Join Operators - Inner, Left, Right, Full Outer, Cross
Join Conditions

10. Building Data Stories with Looker studio New!

Build a Customer Churn Analysis Report
Build a ECommerce Revenue Analysis Report
Monitoring Usage Looker Studio Report
Optimising Reports for Performance

11. Business and Marketing Applications New!

Viewing Data from Google my Business
Using Google search console for Audience Insights
Web Data Visualizations

SUNY University Syllabus

1. Azure Data Fundamentals New!

Data Workloads
Data Analytics
Relational Data Workloads
Relational Data Management
Provisioning & Configuring Relational Data Services
Azure SQL Querying Techniques
Non-relational Data Workloads
Non-relational Data Services
Azure Cosmos DB
Non-relational Data Management
Azure Analytics Workloads
Modern Data Warehousing
Azure Data Ingestion & Processing
Azure Data Visualization

2. Working with Microsoft Azure SQL New!

Getting Started with Azure SQL
Using Transact-SQL for Queries & Transactions
Advanced Topics in Azure SQL Databases

3. Certificate from SUNY University New!

Certificate Course in Data Analytics by SUNY

Latest GenAI and Agentic AI Techniques

Beyond prompting: the engineering practices teams now use to build AI agents that work reliably in production.

Harness engineering

Design the runtime around a model: tool access, memory, context assembly, retries and permissions, so an LLM agent completes real tasks reliably.

Loop engineering

Build the agent loop of plan, act, observe and reflect, with stopping rules, budgets and human checkpoints, so iterative agents converge instead of drifting.

Graph engineering

Model multi-step and multi-agent workflows as graphs of nodes, edges and shared state (for example LangGraph), and ground answers in knowledge graphs with GraphRAG.

Context engineering

Decide what enters the model's context window (instructions, retrieved documents, memory and tool results) to get accurate answers at a lower cost.

Tool use with MCP

Connect agents to databases, APIs and files through function calling and the Model Context Protocol (MCP).

Evals and guardrails

Measure agent quality with test sets and LLM-as-judge evaluations, and add guardrails, logging and cost controls before going to production.

Alumni Speak

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Data Scientist

Programmer Analyst

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Why Data Analyst Course in Nagpur

The strategic advantage that a course in Data Analytics in Nagpur will give to any aspiring data professional is quite significant. India is fast becoming a center for technological and data-driven decision-making, and this trend is taking the Nagpur job market to the next level. Already famous for educational institutions and the booming IT sector, the city offers numerous opportunities for graduates in data analytics.

According to recent reports, the data analytics market in India will rise from 2 billion dollars in 2020 to more than 16 billion dollars by 2025 with a CAGR of around 26%. Data Analytics Training in Nagpur thus provides a strategic location where business growth can be fueled by data. The local IT industry is expected to generate around 40,000 jobs in data-related fields in the next few years, fueled by growing demand from sectors such as e-commerce, healthcare, and finance.

The developing startup space in Nagpur is changing the job scope. Initiatives such as the Nagpur Smart City project and large incubators motivating innovation in the field are demanding more data analytics personnel. Companies require proficient professionals who can interpret and make actionable the complex intricacies of the available data set.

Students learn critical skills such as statistical analysis, machine learning, and data visualization from Data Analytics Course at Nagpur. Such students become highly employable. It often contains hands-on projects and collaborations with industries that further narrow the gap between theoretical knowledge and practical application.

Summing up, with fast growth in the field related to data analytics and good job opportunities in Nagpur, I believe that a data analytics course will be smart for future investment.

Why Choose 360DigiTMG for Data Analyst Training Institute in Nagpur?

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"AI to contribute $16.1 trillion to the global economy by 2030. With 133 million more engaging, less repetitive jobs AI to change the workforce." - (Source). Data Science with Artificial Intelligence (AI) is a revolution in the business industry.. AI is potentially being adopted in automating many jobs leading to higher productivity, less cost, and extensible solutions. It is reported by PWC in a publication that about 50% of human jobs will be taken away by the AI in the next 5 years.

There is already a huge demand for AI specialists and this demand will be exponentially growing in the future. In the past few years, careers in AI have boosted concerning the demands of industries that are digitally transformed. The report of 2018 states that the requirements for AI skills have drastically doubled in the last three years, with job openings in the domain up to 119%.

FAQs

Which is a good Health Care Data Analytics Training in Nagpur?

360DigiTMG provides a good Certification Program on Life Sciences and Healthcare Analytics meant for medical professionals. The course is devoted to Clinical Healthcare Data Analysis. Medical professionals will learn to interpret Electronic Health Record (EHR) data types and structures and apply predictive modelling on the same. In addition to this, they will learn to apply machine learning techniques to healthcare data.

What is the eligibility to learn data analytics ?

Students must possess a Bachelor's degree in Mathematics / Statistics / Computer Science / Data Science or a Bachelor's degree in Engineering (any discipline) from a recognized institute.

What is the duration of this course in Nagpur?

The duration of this course is Four months. It comprises of 132 plus hours of classroom or online sessions, 80 plus hours of assignments and e-learning and 80 plus hours of live project work.

What are the objectives of this course?

The key objectives of this course are:

Become proficient with different data generation sources
Master Text Mining to generate Customer Sentiment Analysis
Analyze and transform Structured and Unstructured data using different tools and techniques
Learn the techniques of Descriptive and Predictive Analytics
Apply Machine Learning approached for business decisions
Build prediction models for day-to-day applicability
Perform forecasting to take proactive business decisions
Represent business results using data visualization techniques

What is the curriculum of this course?

The curriculum of this course includes the following subjects:

Data Preparation
Data Cleansing
Exploratory Data Analysis
Feature Engineering
Feature Extraction
Feature Selection
Hypthesis Testing
Regression Analysis
Predictive Modelling
Data Mining Supervised
Data Mining Unsupervised
Text Mining
Natural Language Processing
Machine Learning
Black Box Techniques - Neural Networks, SVM
Time Series Analysis / Forecasting
Project Management

What are the benefits of pursuing this course?

The most obvious benefit of pursuing a this course is that one can apply to a plethora of job opportunities available in the data science market. The demand for data science professionals in India it has increased by 400% and the supply has increased by 19% only. This is the most sought after qualification. It is also the most lucrative career option with salaries hitting the ceiling.

Another benefit would be the range of analytical and problem-solving skills that a student acquires from a data analytics training. These skills can be used to analyse big data and draw meaningful insights from the same.

The third benefit is that you exhibit better business decision-making skills in the workplace.

Is Data Analytics useful for Chartered Accountants? Do you offer a special course for Chartered Accountants?

Data Analytics is useful for Chartered Accountants. Chartered accountants can use big data analytics and machine learning to re-engineer the audit process. Network Analytics and Graph Data are used to identify fraudulent practices. The tools of data analytics can be used to detect business risks as well.

360DigiTMG offers a Data Science Course for Internal Auditors and a Certification Program in Financial Analytics. Chartered Accountants can pursue either one of these courses to develop cutting-edge analytical skills.

Can finance professionals join a data analytics program?

Data Analytics is widely used in the Financial Services industry today. Finance professionals can benefit from this course. They will understand how data analytics is employed in Stock Market Investments, Banking, Financial Advisory and Management, EPS etc. The application of Artificial Intelligence in Algorithmic Stock Trading, Automated Robo-Advisors and Fraud Detection Systems are also elaborated in-depth in a financial analytics course.

Which is a good HR Data Analytics program?

360DigiTMG offers a very comprehensive Certification Program in HR Analytics for HR professionals. The module includes

Enabling Workforce Analytics
Predictive Modelling for Ethnic Diversity
Machine Learning to predict Employee Turnover
NLP techniques to screen and recruit candidates
Predicting Employee Performance
Predictive Modelling of sickness/ absence
Deep Learning for Emotion Mining in Workforce Analytics

How will you provide me the course material?

The course material can be downloaded from our online Learning Management System (AISPRY).

Do you teach data visualization as part of this course?

Yes, We do teach data visualization with Tableau as part of this course.

Will you provide a mentor for me?

As soon as a student joins a course he is assigned a mentor. If the institute feels that a particular student requires additional assistance then they will assign some more mentors for a single student.

Can I access data analytics webinars on youtube?

We host several free webinars on data analytics on youtube. They can be accessed from the link given below

https://www.youtube.com/channel/UCNGIDQ466bNY87eEeKeQuzA

Do I pay extra for the certificate?

No. The cost of the certificate is absorbed in the course fee.

What if I miss a classroom session?

All classroom sessions are video recorded and lodged in our Learning Management System AISPRY. If you miss a data analytics classroom session you can access the recorded session from the Learning Management System.

Do you provide internship facility to your students?

Once a student completes his course and receives the Course Completion Certificate, he is eligible for an internship. We offer an internship with AiSPRY. The students gets involved in a live project with AiSPRY. At the end of his internship, he will receive an Internship Certificate in recognition of his efforts.

Can a fresh graduate pursue this course and get employed?

A fresh graduate will greatly benefit from the internship opportunity with AiSPRY that our institute offers. He will work on a live project and get hands-on experience of implementing a data analytics solution. This will improve his employability immensely. Most employers value live project experience only.

What are the job opportunities after I complete the course?

You can apply for the following jobs after completing the course:

Data Analyst
Data Scientist
Data Engineer
Data Architect
Business Analyst

A Data Analyst deals with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The analyst's job is to sift through historical data to understand the present state of the business.

A Data Scientist builds algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. He also performs predictive modelling to facilitate proactive decision-making. Machine learning algorithms are used to build predictive models using Regression Analysis and a Data Scientist must develop expertise in Neural Networks and Feature Engineering.

A Data Engineer is essentially a programmer in Spark, Python and R and complements the role of a data scientist.

A Data Architect is entrusted with the task of establishing hardware and software infrastructure needed to perform Data Analysis. They have to select Hard Disk, Network Architecture, Databases, GPUs etc.

Does this course guarantee placement?

We offer end to end job assistance to our students. We assist them in resume preparation and conduct several rounds of mock interviews. We circulate their resumes to reputed placement consultants with whom we have a long-standing agreement. Once placed we offer technical assistance for the first project on the job.

Can I pursue a data analytics after my MBA?

Business Analytics is the emerging field in data science. It is definitely worth pursuing a data analytics after your MBA. You can specialize in Financial Analytics, HR Analytics or Supply Chain Analytics. Once you finish your data analytics you can apply for the position of Business Analyst.

Jobs in the field of Data Analytics in Nagpur

Field of Data Analyst Jobs in Nagpur

The field of Data Analyst Jobs in Nagpur is growing rapidly, offering opportunities in various sectors like finance, healthcare, and IT. Companies seek skilled analysts to derive insights and drive data-driven decisions.

Salaries for Data Analyst in Nagpur

Salaries for data analysts in Nagpur typically range from Rs 4 to 10 lakhs per annum, depending on experience and skills. With industry growth, competitive compensation packages are increasingly common.

Data Analytics training Projects in Nagpur

Projects for Data Analytics in Nagpur

In Nagpur, data analytics projects often focus on market trends, customer behavior analysis, financial forecasting, and operational efficiency. Local companies collaborate with students to enhance real-world skills through practical applications.

Role of Open Source Tools in data Analytics training in Nagpur

Role Of Open Source Tools In Analytics

Open-source tools play a crucial role in analytics by providing accessible, cost-effective solutions for data manipulation, visualization, and modeling. They foster collaboration and innovation, enabling users to customize and enhance their workflows.

Modes of Training for Data Analytics

Training for data analytics is offered through various modes, including online courses, classroom sessions, workshops, and boot camps. These formats provide flexibility, hands-on experience, and tailored learning to suit diverse needs.

Industry Application of Data Analytics training in Nagpur

Industry Applications of Data Analytics

Data analytics is applied across industries such as healthcare for patient insights, finance for risk management, retail for customer preferences, and manufacturing for operational efficiency, driving informed decision-making and innovation.

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