Data Analytics Course
Data Analytics Course
Build practical and job-ready Data Analytics skills with BASINDIA Academy. Learn how to collect, clean, analyze, visualize and interpret data to generate meaningful insights for real-world business decisions.
Our course starts from the fundamentals and gradually progresses to advanced Data Analytics concepts using Excel, SQL, Python, Statistics, Data Visualization and Power BI. The training focuses on practical exercises, real-world datasets and project-based learning.
Learn the tools and techniques required to work with data from collection and cleaning to analysis, visualization and reporting. The course is designed to help students understand data and convert raw information into useful business insights.
Excel &
Data Preparation
Learn Excel from basic formulas to advanced functions, Pivot Tables, data cleaning, analysis and professional dashboard creation.
Power BI &
Data Visualization
Learn to transform data into interactive reports and dashboards using Power BI, data modeling, DAX and professional visualization.
Practical Learning: Work with real-world datasets, perform data cleaning and analysis, create interactive dashboards and complete practical Data Analytics projects.
Enquire NowWhat You Will Learn
Data Analytics Fundamentals: Understand Data Analytics, the role of a Data Analyst, different types of data, data sources, data collection and the complete data analytics process.
Microsoft Excel – Basic: Learn Excel interface, data entry, formatting, formulas, SUM, AVERAGE, COUNT, MIN, MAX, IF, sorting, filtering, tables, conditional formatting and basic charts.
Excel – Intermediate & Advanced: Work with VLOOKUP, XLOOKUP, INDEX & MATCH, SUMIF, SUMIFS, COUNTIF, COUNTIFS, text functions, date functions, data validation, Pivot Tables, Pivot Charts and Excel dashboards.
SQL – Basic: Learn databases, tables, SELECT, WHERE, ORDER BY, DISTINCT, LIMIT, LIKE, IN, BETWEEN, AND, OR, aggregate functions and basic data queries.
SQL – Intermediate: Learn GROUP BY, HAVING, CASE statements, INNER JOIN, LEFT JOIN, RIGHT JOIN, subqueries, Common Table Expressions and NULL handling.
SQL – Advanced: Work with advanced joins, window functions, ROW_NUMBER, RANK, DENSE_RANK, PARTITION BY, advanced CTEs and complex business queries.
Python – Basic: Learn Python fundamentals including variables, data types, operators, conditions, loops, functions, lists, tuples, sets, dictionaries, exception handling and file handling.
Python for Data Analytics: Learn NumPy, Pandas, Series, DataFrames, importing CSV and Excel files, filtering, sorting, grouping, merging and joining datasets.
Data Cleaning & Preparation: Learn how to identify missing values, duplicate records, incorrect data types and outliers. Perform data transformation, standardization and preparation for analysis.
Statistics for Data Analytics: Understand mean, median, mode, range, variance, standard deviation, percentiles, probability, correlation, regression and data distribution.
Data Visualization: Learn how to present data using bar charts, line charts, pie charts, scatter plots, histograms, KPIs and interactive visualizations.
Power BI – Basic: Learn Power BI Desktop, importing data, Excel and CSV connections, Power Query, data transformation, relationships and basic visualizations.
Power BI – Advanced: Learn data modeling, star schema, calculated columns, measures, DAX, CALCULATE, FILTER, time intelligence, advanced DAX, drill-down, slicers and interactive dashboards.
Advanced Data Analytics: Learn Exploratory Data Analysis, trend analysis, customer analytics, sales analytics, business performance analysis, marketing analytics, forecasting concepts and predictive analytics fundamentals.
Real-World Projects: Work on practical projects such as Sales Analytics, Customer Analytics, E-Commerce Data Analysis, HR Analytics, Financial Data Analysis, Marketing Analytics and Business Performance Dashboards.
Career Preparation: Build a Data Analyst resume and portfolio, prepare project presentations, practice SQL, Excel, Python and Power BI interview questions, participate in mock interviews and receive career guidance.
Who can join the Data Analytics course?
Students, graduates, freshers, working professionals and anyone interested in learning Data Analytics can join the course. Basic computer knowledge is helpful.
What tools will I learn?
The course covers Microsoft Excel, SQL, Python, Pandas, NumPy, Statistics, Power BI and DAX, along with practical data analysis and visualization techniques.
Is this course practical?
Yes. The training includes practical exercises, datasets, data cleaning, SQL queries, Python analysis, Power BI dashboards and real-world Data Analytics projects.
Do I need programming knowledge?
No. The course starts from the fundamentals. Python and SQL are introduced step by step, making the course suitable for beginners.
Will I receive a course certificate?
Course completion certification can be provided based on the academy's course completion requirements.
Do you provide placement support?
BASINDIA Academy provides career guidance, resume support, mock interview preparation and placement assistance to eligible students.
Can I attend the course online?
Course availability can include online and offline learning options, depending on the batch and course schedule. Contact BASINDIA Academy for the current batch details.
