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Data Analytics Internship - 3 Month Online Training Program

Join 3 Month Data Analytics Online Internship Training Program at NextVision Infotech. Master Excel, SQL, Power BI, Python, statistics, machine learning basics, research. ₹999 only with certificate.

90 Days
Online • Anywhere in India
INT-AIDS-DA-90D-ONL
Data Analytics Internship - 3 Month Online Training Program Banner

Program Description

NextVision Infotech presents an advanced Data Analytics Online Internship Training Program spanning 3 months (90 days). This program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., B.Com, MBA, and other technical/management streams - who want to master data analytics with advanced Excel, SQL, Power BI, Python, statistics, machine learning basics, and research. The program covers the complete data analytics lifecycle from data fundamentals to advanced analytics, Python for data analytics, machine learning basics, and research. Over twelve weeks, the program progresses from fundamentals to advanced data analytics. Weeks 1-4 cover fundamentals and core analytics. Weeks 5-8 cover Python, machine learning, and advanced analytics. Weeks 9-12 are dedicated to research, live projects, and certification. The program follows industry-standard workflows used by professional data analysts and data scientists across India. Students work on real datasets, clean data, write SQL queries, build dashboards, perform statistical analysis, use Python, apply machine learning basics, and complete documentation. The curriculum draws inspiration from premier technical institutions across India and follows professional data analytics standards used in the industry. Students gain advanced practical skills that prepare them for careers in data analytics, business intelligence, data science, and research. This program is delivered 100% online, allowing students from any state or city across India to enroll and benefit. Live sessions, recorded lectures, virtual labs, and datasets are provided. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, Research Training Certificate, and an Offer Letter. Learning outcomes include mastering data analytics fundamentals, Excel, SQL, Power BI, Python, statistics, machine learning basics, research, and producing professional analytics documentation.

Skills You'll Learn

Data Analytics
Advanced Excel
VBA
SQL
CTEs
Window Functions
Power BI
DAX
Data Visualization
Dashboard Design
Python
NumPy
Pandas
Matplotlib
Seaborn
Plotly
Statistics
Hypothesis Testing
Regression
Machine Learning
Scikit-learn
Research
Data Storytelling

Projects You'll Work On

Complete Data Analytics Project (3 Month Online)

Students will complete an advanced data analytics project including data cleaning, Excel analysis, SQL queries, Power BI dashboard, Python analysis, statistical analysis, machine learning basics, research report, and complete project documentation as per industry standards.

Program Modules

1

W1-2: Weeks 1-2: Data Analytics Fundamentals and Excel

Introduction to data analytics, types of analytics - descriptive, diagnostic, predictive, prescriptive, data analytics lifecycle, data types, data sources, data quality, data cleaning, Excel fundamentals, Excel interface, formulas and functions, lookup functions - VLOOKUP, HLOOKUP, INDEX-MATCH, XLOOKUP, logical functions, text functions, date functions, math functions, statistical functions, pivot tables, pivot charts, slicers, conditional formatting, data validation, what-if analysis, power query in Excel, power pivot in Excel, Excel dashboards, advanced Excel - macros, VBA basics.

2

W3-4: Weeks 3-4: SQL and Databases

Introduction to databases, relational database concepts, SQL fundamentals, SELECT statement, WHERE clause, ORDER BY, GROUP BY, HAVING, JOINs - inner join, left join, right join, full join, cross join, self join, subqueries, correlated subqueries, CTEs, window functions - ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, aggregate functions - SUM, AVG, COUNT, MIN, MAX, string functions, date functions, case statements, unions, intersections, data manipulation - INSERT, UPDATE, DELETE, data definition - CREATE, ALTER, DROP, views, stored procedures, database design, normalization, indexing, query optimization, NoSQL basics, MongoDB basics.

3

W5-6: Weeks 5-6: Power BI and Data Visualization

Introduction to Power BI, Power BI Desktop, Power BI Service, connecting to data sources - Excel, CSV, SQL Server, MySQL, PostgreSQL, web, APIs, Power Query, data transformation, data cleaning, data profiling, combining queries, appending queries, merging queries, data modeling, star schema, snowflake schema, relationships, cardinality, calculated columns, calculated tables, date tables, hierarchies, DAX, DAX syntax, DAX functions - aggregate functions, iterator functions, filter functions (CALCULATE, FILTER, ALL), time intelligence functions, data visualization principles, chart selection, bar charts, column charts, line charts, pie charts, maps, KPI cards, slicers, filters, bookmarks, buttons, drill-through, drill-down, dashboard design, layout design, color theory, data storytelling.

4

W7-8: Weeks 7-8: Python for Data Analytics and Machine Learning Basics

Python for data analytics, Python installation, Python syntax, data types, control flow, functions, NumPy fundamentals, NumPy arrays, Pandas fundamentals, Series, DataFrame, data loading, data cleaning, data transformation, data visualization - Matplotlib, Seaborn, Plotly, data analysis with Pandas, groupby, pivot tables, time series analysis, statistics for data analytics, descriptive statistics, inferential statistics, hypothesis testing, correlation analysis, regression analysis, machine learning basics, supervised learning, unsupervised learning, linear regression, logistic regression, k-means clustering, model evaluation, scikit-learn basics, Jupyter Notebook, Google Colab.

5

W9-10: Weeks 9-10: Advanced Analytics and Research

Advanced analytics, predictive analytics, prescriptive analytics, time series forecasting, ARIMA, exponential smoothing, A/B testing, experimentation, data mining, text analytics, sentiment analysis, web scraping, APIs for data, data engineering basics, ETL, data warehousing, data lake, big data basics, Hadoop, Spark, research methodology, research design, literature review, data collection, data analysis, research report writing, paper writing, publication.

6

W11-12: Weeks 11-12: Live Projects, Research, and Certification

Live projects - sales dashboard, HR dashboard, financial dashboard, marketing dashboard, customer segmentation, predictive analytics, text analytics, research report, complete documentation, resume building, interview preparation, portfolio building, LinkedIn optimization, viva-voce examination, feedback session, certificate distribution.

Key Features

90 Days Comprehensive Training
100% Online Mode
Live Sessions & Recorded Lectures
Excel, SQL, Power BI Training
Python for Data Analytics
Machine Learning Basics
Statistics & Research
Live Analytics Projects
Research Report Included
Professional Documentation
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Viva-Voce Preparation
Pan-India Enrollment

What You'll Learn

Master advanced data analytics
Analyze data using Excel
Query databases using SQL
Build Power BI dashboards
Use Python for data analytics
Apply machine learning basics
Apply statistical analysis
Conduct research and write reports
Build a professional analytics portfolio
Prepare for advanced data analytics jobs across India

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Project Evaluation 100 50
Research Report 100 50
Final Presentation 50 25
Viva-Voce 50 25
Data Analytics Internship - 3 Month Online Training Program

Internship Details

Duration 90 Days
Location Online • Anywhere in India
Available Seats 200
Course Code INT-AIDS-DA-90D-ONL
Apply Now — ₹999

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc./B.Com/MBA in any discipline
  • Basic knowledge of Excel
  • Basic knowledge of programming
  • Interest in advanced data analytics and research
  • Laptop/PC with internet connection

Who Can Enroll ?

  • B.Tech students (1st to 8th semester)
  • BCA/MCA students
  • B.Sc. students
  • B.Com students
  • MBA students
  • Data analytics aspirants
  • Data science aspirants
  • Working professionals wanting to upskill
  • Students from all over India seeking online advanced practical training

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