Data Analytics
Explore the power of data with our expertly crafted Data Analytics course!
20+ Assignments
4+ Projects
About the Course
Duration: 12-16 Weeks
Recorded + live lectures will be provided- Validity: Lifetime access
- Comprehensive curriculum with different set of modules, keeping nitty gritty details in check.
Course Information
Experience hands-on learning as you analyze complex datasets, design data-driven models, and visualize insights to drive decision-making. This course empowers you with the expertise needed for a successful career in data analytics.
Gain an understanding of the fundamentals and scope of data analysis in business and industries.
- Definition and scope of data analysis
- Types of data analysis: Descriptive, Diagnostic, Predictive, Prescriptive
- Role of a data analyst in business
- Data collection, cleaning, and preprocessing
- Exploratory Data Analysis (EDA)
- Statistical analysis
- Data visualization and reporting
Explore data sources, collection methods, and efficient data management techniques.
- Types of data: structured, semi-structured, unstructured
- Data collection methods: surveys, sensors, databases
- Basics of relational databases
- SQL fundamentals: SELECT, JOIN, GROUP BY, WHERE
- Advanced SQL: Window functions, CTE, Indexing, Optimization
Learn statistical methods essential for data analysis and decision-making.
- Descriptive statistics: central tendency, dispersion, and data distribution
- Inferential statistics: hypothesis testing, confidence intervals, p-values
- Probability theory, correlation, and causation
- Sampling methods: random and stratified sampling, sample size determination
Master techniques to clean and preprocess data for analysis.
- Handling missing data: imputation, removal
- Outlier detection and treatment
- Normalization and standardization
- Feature scaling and encoding categorical variables
- Data wrangling using Pandas
Develop programming skills in Python for effective data analysis.
- Python basics: installation, configuration, data types
- Control flow: if-else, loops, break, continue
- Working with data structures: lists, sets, dictionaries, tuples
- Defining functions and lambda expressions
- Hands-on exercises: reading and writing CSV files
Perform exploratory data analysis to uncover insights and patterns.
- Importing and exporting data
- Libraries for EDA: Numpy, Pandas, Matplotlib, Seaborn
- Viewing and manipulating data objects
- Hands-on exercises: data exploration and visualization
Utilize Numpy and Pandas for efficient data manipulation and analysis.
- Array indexing, slicing, and linear algebra operations with Numpy
- Statistical and mathematical functions
- Handling missing data with Pandas
- Grouping, aggregating, and merging data
- Creating pivot tables and visualizations
Learn data visualization techniques to create compelling visual stories.
- Chart types: bar charts, line graphs, scatter plots, histograms
- Python libraries: Matplotlib, Seaborn
- Designing for clarity and readability
- Interactive dashboards and geographic visualizations
Enhance your SQL skills for advanced data analysis and visualization.
- Subqueries and joining tables
- Aggregating data using functions: SUM, AVG, COUNT
- GROUP BY and HAVING clauses
- Hands-on exercises: analyzing and visualizing data with SQL
Utilize Excel and BI tools for data analysis, reporting, and dashboarding.
- Excel basics: formatting, calculations, IF functions, VLOOKUP
- Advanced Excel: pivot tables, charts, dashboards
- BI concepts: data warehouses, ETL, OLAP cubes
- BI tools: Power BI, Tableau, QlikView
Apply your skills to real-world problems and prepare for a career in data analytics.
- Case studies in e-commerce, healthcare, finance, and marketing
- Capstone project: end-to-end data analysis workflow
- Building a portfolio and showcasing projects
- Job preparation: interview prep, resume building, and networking
After completing the above modules, we will transition to working on Capstone Project using all the concepts! These projects will extend the course duration by up to 2 additional weeks, making the learning experience more intriguing and effective.
Course Mentor(s)
Frequently Asked Questions
You can enroll in this course either by Live classes or you can visit us Offline to join the batch as we are offline too!
Please submit an inquiry or request a call back at a time that works for you if you are interested in any course or are unsure about your course choices. To help you find the course that is most appropriate for you, someone from Codehub Nexus will get in touch with you.
Access to the recordings is never taken away.
Please submit an inquiry or request a call back, our expert guide will connect with you to discuss more about the course & to help you choose what's right for you.
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