This blog will provide you a comprehensive details about Data Analytics Courses in Nagpur. Why is data analytics important? After COVID-19, the popularity of certificate programs grew as people sought productive ways to use their time. Many companies began offering online certificates for students and working professionals. This isn’t just a passing trend, as technology continues to advance without signs of slowing down.
Certificate programs are in high demand among professionals. Students now view these courses as valuable for job prospects. The main goal is to build knowledge and skills that match current market needs. Nagpur, known as Maharashtra’s winter capital, is famous for its oranges. The city has seen growth in IT colleges. Many schools offer full-time data analytics degrees and certifications. Here are some top-rated data analytics courses in the area.
What is Data Analytics?
Data Analytics applies data science principles to make informed business choices. It involves steps like gathering data, cleaning it, transforming it, and presenting it in various forms. This helps with budgeting, forecasting, research, and new product modeling. In simple terms, it’s about visualizing future scenarios.
Who Should Take Data Analytics Courses in Nagpur?
While these courses teach from the basics, a bachelor’s degree in computer science, math, science, or engineering is usually required.
- Professionals in outsourcing firms like BPOs and KPOs are well-suited for this course.
- Undergrads interested in careers needing analytical and critical thinking skills can benefit.
- People working in management roles like finance, marketing, and sales are good candidates.
Data Analytics Process Flow:
- Understanding data types: Structured and unstructured data in images, text, and videos.
- Data sources: Internal and external; primary and secondary.
- Data capture and identification.
- Data Collection: Gathering information from various sources including manual records, read-only databases, open-source platforms, and real-time feeds.
- Data Protection and Legal Compliance.
- Data Cleaning: Extracting relevant information through processes like data retrieval, recovery, combination, and division.
- Data Analysis and Interpretation
- Analytical Methods
- Analytical Software (Excel, Python, Power BI, Tableau).
- Analysis Outcomes: Audit Insights and Evidence.
Top Data Analytics Programs in Nagpur:
1. Rise Institute
Rise Institute is a highly regarded online learning platform offering various skill development courses, with their data analytics program being one of the most recommended worldwide.
Course Module:
| Module Name | Important Topic |
|
Module 1: Basic and Advance Excel |
Introduction to Data Handling |
| Data Manipulation Using Functions | |
| Data Analysis and Reporting | |
| Data Visualization in Excel | |
| Overview of Dashboards | |
|
Module 2: Visual Basic Application |
Introducing VBA |
| How VBA Works with Excel | |
| Key Components of Programming Language | |
| Programming Constructs in VBA | |
| Functions & Procedures in VBA | |
| Objects & Memory Management in VBA | |
| Error Handling | |
| Controlling Accessibility of Your Code | |
| Communicating with Your Users | |
|
Module 3: SQL |
Basics RDBMS Concepts |
| Utilizing the Object Explorer | |
| Data Based Objects Creation (DDL Commands) | |
| Data Manipulation (DML Commands) | |
| Accessing Data from Multiple Tables Using SELECT | |
| Optimizing Your Work | |
|
Module 3.1: SQL Server Reporting Services |
Basics of SSRS |
| Creating Parameters | |
| Understanding Visualization | |
| Creating Visualization Using SSRS | |
|
Module 3.2: SQL Server Integration Services |
Understanding Basics of SSIS |
| Understanding Packages | |
| Creating Packages to Integrate | |
| Creating Project Using SSIS | |
|
Module 4: Power BI |
Introduction |
| Data Preparation and Modeling | |
| Data Analysis Expressions (DAX) | |
| Reports Development (Visuals in Power BI) | |
|
Module 5: Data Analytics Using Python |
Introduction to Basic Statistics |
| Introduction to Mathematical Foundations | |
| Introduction to Analytics & Data Science | |
| Python Essentials (Core) | |
| Operations with NumPy (Numerical Python) | |
| Overview of Pandas | |
| Cleansing Data with Python | |
| Data Analysis Using Python | |
| Data Visualization with Python | |
| Statistical Methods & Hypothesis Testing | |
|
Module 6: Tableau |
Getting Started |
| Data Handling & Summaries | |
| Reports Development (Visuals in Tableau) | |
|
Module 7: R For Data Science |
Data Importing/Exporting |
| Data Manipulation | |
| Data Analysis | |
| Using R with Databases | |
| Data Visualization with R | |
| Introduction to Statistics | |
| Linear Regression: Solving Regression Problems | |
|
Module 8: Alteryx |
Overview of the Alteryx Course and Fundamental Concepts |
| Using the Select Tool to Rename Fields, Change the Data Type | |
| Understanding the User Environment and Alteryx Settings | |
| Filtering Data/Data Processing | |
| Blending/Joining Data from Different Sources | |
| Data Cleansing | |
| Impute Values | |
| Random Sample |
Data Analytics Course
6 months comprehensive online training + 2 months internship
INR 39900 Rs. + taxes
Tools:
- R
- Tableau
- Excel
- SQL
- Alteryx
- Python
- Power BI
2. Nagpur Data Analytics Courses – Learnbay
Learnbay offers various data analytics courses. Industry experts make learning easier. Let’s explore more details about this program.
Course Title: Data Analytics Certification Program in Nagpur (for Working Professionals)
Fee: 65,000 INR + GST (18-month access)
Duration: Weekdays- Mon to Fri (5 months); Weekends- Sat and Sun (6.5 months)
Learning Format: Blended Learning (Online and Offline)
Curriculum:
- Introductory Module: Group orientation, networking, code editing basics, Python fundamentals, statistics and probability overview.
- Module 1: Python deep dive (setup, control structures, functions, modules, NumPy, pandas, data visualization).
- Module 2: Applied Statistics (probability theory, statistical methods, hypothesis testing, exploratory data analysis).
- Module 3: Advanced Machine Learning (regression, classification, clustering, KNN, decision trees, ensemble techniques, time series).
- Module 4: Deep Learning (neural networks, TensorFlow, CNNs, advanced concepts).
- Module 5: Natural Language Processing (language modeling, vector space models, related projects).
- Module 6: Reinforcement Learning.
- Module 7: Computer Science fundamentals.
- Module 8: AI and Risk Management.
- Module 9: Data Analytics Tools (Excel, SQL, databases, Tableau, Power BI).
Program Highlights:
- Expert support throughout the course and beyond to help with challenging concepts
- 180+ hours of instruction with hands-on projects and assignments
- Career assistance to help establish your data analytics skills
- 5+ real-world projects to apply your learning
