Introduction to Data AnalyticsBCA 207T

About the work

• We give you the syllabus below and a sample notes PDF to record from. The notes unlock once you fill in your details in the form.
• You send back a link to an unlisted YouTube video or a Drive video of yourself teaching from those notes. Nothing to upload here.
• Selected educators have 3-4 weeks to submit the full recording.
• Payment for the subject: 1,500-2,000 (Based on recording hours).
• Shortlisted applicants are contacted by our team with the next steps.

Subject syllabus

Exactly what you would be recording.

UNIT-I
Introduction to Data Analytics: Data, Information and Knowledge, Types of Data, Data Analytics Process, Data Analytics Lifecycle, Applications of Data Analytics, Data Collection, Sampling Techniques, Data Cleaning, Data Preprocessing, Data Transformation.

UNIT-II
Statistical Foundations and Exploratory Data Analysis: Measures of Central Tendency, Measures of Dispersion, Correlation, Probability Basics, Exploratory Data Analysis (EDA), Data Visualization, Histograms, Box Plots, Scatter Plots, Introduction to Hypothesis Testing.

UNIT-III
Predictive and Descriptive Analytics: Supervised and Unsupervised Learning, Classification, Regression, Naïve Bayes, K-Nearest Neighbour (KNN), Linear Regression, Clustering, K-Means Algorithm, Hierarchical Clustering, Association Rule Mining, Apriori Algorithm.

UNIT-IV
Python for Data Analytics and Big Data: Introduction to NumPy, Pandas, Matplotlib and Seaborn, Data Import and Export, Data Manipulation, Data Visualization, Big Data Fundamentals, Hadoop Ecosystem, MapReduce, Applications of Data Analytics.