Data Analytics Internship - 3 Month Offline Training Program
Join 3 Month Data Analytics Offline Internship Training Program at NextVision Infotech, Patna. Master Excel, SQL, Power BI, Python, statistics, machine learning basics, research with hands-on lab training. ₹1249 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete Data Analytics Project (3 Month Offline)
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
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.
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.
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.
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.
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.
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
What You'll Learn
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 |
Internship Details
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
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 Patna and nearby areas seeking hands-on advanced training
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