Course
Understand the fundamentals of data analytics and its applications in business decision-makingGain proficiency in using tools like Excel, SQL, Python, R, Power BI, and TableauPerform data collection, cleaning, transformation, and visualization effectivelyDevelop the ability to analyze large datasets for meaningful insightsApply statistical techniques for predictive and descriptive analysisCreate interactive dashboards and business intelligence reportsImplement data-driven strategies for organizational growthLearn to handle real-world data analytics projects from start to finishInterpret and communicate analytical results to non-technical stakeholdersPrepare for industry-recognized certifications and job roles in data analytics
Course Description
This program provides in-depth training in Data Analytics, covering Python, SQL, Data Visualization, Statistics, Machine Learning, and Big Data. Students will gain practical experience with real-world datasets, learn data-driven decision-making, and develop insights for businesses and AI-driven applications.
Modules
- Introduction to Data Analytics & Python for Data Analysis
- Statistics, Probability & Data Visualization
- SQL for Data Analytics & Business Intelligence
- Machine Learning for Data Analytics
- Unsupervised Learning & Feature Engineering
- Big Data & Cloud Computing for Data AnalyticsTime-Series Analysis & business Forecasting
- Capstone Project & Career Opportunities
Projects
- Perform Data Cleaning & Preprocessing on a dataset using Pandas & SQL
- Conduct Exploratory Data Analysis (EDA) on a real-world dataset & create insights using Data Visualization tools
- Write SQL queries to analyze customer behavior data for a retail business
- Build a Customer Churn Prediction Model using Logistic Regression
- Perform Customer Segmentation using K-Means Clustering
- Deploy a Machine Learning Model as a REST API using Flask & AWS
- Develop a Time-Series Forecasting Model for predicting sales trends
- Develop a real-world Data Analytics project on a dataset of your choice
Assignments
- Perform Data Cleaning & Preprocessing on a dataset using Pandas & SQL
- Conduct Exploratory Data Analysis (EDA) on a real-world dataset & create insights using Data Visualization tools
- Write SQL queries to analyze customer behavior data for a retail business
- Build a Customer Churn Prediction Model using Logistic Regression
- Perform Customer Segmentation using K-Means Clustering
- Deploy a Machine Learning Model as a REST API using Flask & AWS
- Develop a Time-Series Forecasting Model for predicting sales trends
- Develop a real-world Data Analytics project on a dataset of your choice
Certificate
Practical AI-integrated Project (40%)
Final Online Test (60%)
NxT Certified Data Analytics Professional Certificate awarded
upon successful completion.
Career Opportunities
- Job Roles:
- Data Analyst – Extract meaningful insights from data
- Business Intelligence Analyst – Develop interactive
- dashboards & reports
- Data Scientist – Predict trends & analyze complex data
- Machine Learning Engineer – Develop AI-powered analytical solutions
- Big Data Analyst – Work with Hadoop, Spark & distributed computing Freelancing Opportunities:
- Provide data visualization & analytics services to businesses
- Develop custom dashboards & reports for startups
- Offer data-driven marketing strategies for companies
- Work as a Big Data & SQL consultant
- Startup Opportunities:
- Build an AI-powered business analytics platform
- Create a Data-as-a-Service (DaaS) startup
- Develop an automated business intelligence dashboard
- Launch a data-driven market research company
Download Course Brochure
