Your roadmap · आपका रोडमैप
- 1
Admission & first meetingप्रवेश और पहली मुलाकातEnquire at your nearest NDSS centre, meet the teacher, fix the batch time and get your study material.
- 2
Work planकार्य योजनाStep by step with your guide / trainer.
Python and R BasicsData Cleaning and Pre-processingExploratory Data Analysis and VisualisationRegression and ClassificationClustering and Association RulesBig Data Tools
- 3
File, report & vivaफ़ाइल, रिपोर्ट और वाइवाPractical file / report checked, mock viva before the final one.
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Online tests & resultऑनलाइन टेस्ट और रिज़ल्टTake the tests online; your marks and result show in your student login and at the centre.
सिलेबस · पाठ्यक्रम
1 subject · 6 chapters · 22 topics
01Python and R Basics
4 टॉपिक+
- Python lists, dictionaries, NumPy arrays
- pandas Series and DataFrame
- R vectors and data frames
- Reading CSV and Excel files
02Data Cleaning and Pre-processing
4 टॉपिक+
- Handling missing values
- Removing duplicates and outliers
- Normalisation and standardisation
- Encoding categorical variables
03Exploratory Data Analysis and Visualisation
4 टॉपिक+
- Summary statistics
- Histogram, box plot and scatter plot
- Correlation heat map
- Group-by analysis
04Regression and Classification
4 टॉपिक+
- Simple and multiple linear regression
- Logistic regression
- Decision tree classifier
- Evaluation: RMSE, accuracy, confusion matrix
05Clustering and Association Rules
3 टॉपिक+
- K-means clustering and elbow method
- Hierarchical clustering
- Apriori algorithm and association rules
06Big Data Tools
3 टॉपिक+
- HDFS commands
- MapReduce word count
- Hive query on a sample dataset
About this course
आप यह कर पाएँगे
- Load and manipulate datasets with pandas / R data frames
- Clean data: missing values, duplicates, outliers, normalisation
- Perform exploratory data analysis with summary statistics and plots
- Build and evaluate regression and classification models
- Apply K-means clustering and Apriori association rules
- Run basic HDFS commands and a MapReduce word count
यह किसके लिए है
- B.Tech Information Technology students of Semester 6 (AKTU)
- Students of other universities studying the same subject who want unit-wise coaching
आपको क्या चाहिए
- Data Analytics theory of the same semester
- Python 3 with Jupyter (or R with RStudio)
Online tests & result
Practice and unit tests online; marks and result show in your student login and at the centre.
Student login →
सवाल
Which syllabus does the Data Analytics Lab course follow?
It follows the AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) B.Tech syllabus for Data Analytics Lab. If your own university's syllabus differs, the centre follows your university syllabus.
Will this help in the university examination?
Yes. Teaching is unit-wise as per the AKTU scheme, with previous-year question practice, MCQ tests and doubt sessions before the semester exam.
Which datasets are used?
Open datasets such as Iris, Titanic, house prices and market-basket data from Kaggle / UCI, or any dataset your college specifies.
