Data Analytics Training in Ranchi

Codezeal Technologies • Ranchi

Data Analytics Training Program in Ranchi

The Data Analytics Training Program at Codezeal is designed to help students collect, clean, process, analyze, and visualize data. Students learn industry-relevant tools and techniques to convert raw data into meaningful business insights and support data-driven decision-making.

Covering a comprehensive 6-month curriculum, our training program spans across Python programming, NumPy, Pandas, SQL databases, statistical methods, Exploratory Data Analysis (EDA), Data Visualization, and interactive Microsoft Power BI dashboards.

Program Core Pillars

SQL Databases

Master data extraction and write robust database queries using MySQL/Postgres JOINs, CTEs, aggregates, and window functions.

Python, NumPy & Pandas

Process structured datasets, handle missing values, transform records, and perform vectorised data manipulation efficiently.

Statistics & EDA

Apply descriptive statistics, probability distributions, hypothesis testing, and Exploratory Data Analysis to uncover hidden data trends.

Power BI & Visualization

Build dynamic Power BI dashboards, data models, DAX measures, and data storytelling visuals with Matplotlib and Seaborn.

Scope of Data Analytics in Ranchi & Beyond

Organizations across corporate sectors, retail, e-commerce, healthcare, and finance depend heavily on analysts who can extract clarity from complex datasets. As businesses expand digitally across Ranchi and India, professional Data Analysts are in high demand to bridge raw data and strategic business decisions.

Learning Outcomes & Key Benefits

  • Practical Data Skills: Develop hands-on ability to collect, clean, and process structured real-world data.
  • Complete Tool Mastery: Gain professional proficiency in SQL, Python, Pandas, Matplotlib, Seaborn, and Power BI.
  • Interactive Reporting: Create executive-ready reports, KPI analyses, and interactive business dashboards.
  • Portfolio Projects: Complete live projects covering sales analysis, customer behaviour, and e-commerce performance reporting.

Book a Free Technical Consultation

Discuss your career goals, evaluate our live project curriculum, and plan your data analytics roadmap with our expert mentors.

Modes: Classroom Lab & Online Live Center: Codezeal Technologies, Ranchi
Enquire Now
DATA ANALYTICS SYLLABUS

DATA ANALYTICS TRAINING PROGRAM SYLLABUS

Module 1

Introduction to Data Analytics
▸ Introduction to Data Analytics
▸ Types of Data Analytics: Descriptive, Diagnostic, Predictive and Prescriptive
▸ Data Analytics lifecycle
▸ Role of a Data Analyst
▸ Real-world applications of Data Analytics
Module 2

Excel for Data Analytics
▸ Introduction to MS Excel
▸ Data entry and formatting
▸ Sorting and filtering
▸ Basic and advanced Excel functions
▸ IF, SUMIF, COUNTIF and VLOOKUP/XLOOKUP
▸ Conditional formatting
▸ Pivot tables and pivot charts
▸ Data cleaning and reporting
Module 3

Python Programming
▸ Introduction to Python
▸ Variables, data types and operators
▸ Conditional statements and loops
▸ Functions and lambda functions
▸ Lists, tuples, sets and dictionaries
▸ File handling: CSV, JSON and Excel
▸ Exception handling
▸ Python modules and libraries
Module 4

NumPy for Data Analysis
▸ Introduction to NumPy
▸ Arrays and dimensions
▸ Array indexing and slicing
▸ Broadcasting and vectorization
▸ Mathematical and statistical operations
▸ Matrix operations
▸ Random number generation
Module 5

Data Manipulation Using Pandas
▸ Introduction to Pandas
▸ Series and DataFrames
▸ Importing CSV, Excel and JSON files
▸ Data filtering and sorting
▸ Handling missing values and duplicates
▸ Merge, join and concatenate
▸ GroupBy and pivot tables
▸ Data transformation and cleaning
Module 6

SQL for Data Analytics
▸ Introduction to SQL and databases (MySQL / Postgres)
▸ SELECT, WHERE, ORDER BY and LIMIT
▸ Aggregate functions
▸ GROUP BY and HAVING
▸ SQL joins
▸ Subqueries
▸ Common Table Expressions (CTEs)
▸ Window functions
▸ Data retrieval and manipulation
Module 7

Statistics for Data Analytics
▸ Introduction to Statistics
▸ Mean, median and mode
▸ Variance and standard deviation
▸ Probability fundamentals
▸ Probability distributions
▸ Correlation and covariance
▸ Hypothesis testing
▸ Statistical interpretation
Module 8

Exploratory Data Analysis (EDA)
▸ Understanding datasets
▸ Univariate, bivariate and multivariate analysis
▸ Missing-value analysis
▸ Outlier detection
▸ Correlation analysis
▸ Data quality and validation
▸ Identifying patterns and trends
Module 9

Data Visualization
▸ Introduction to data visualization
▸ Matplotlib and Seaborn
▸ Line charts and bar charts
▸ Histograms
▸ Box plots and scatter plots
▸ Heatmaps and pair plots
▸ Choosing appropriate charts
▸ Data storytelling and reporting
Module 10

Microsoft Power BI
▸ Introduction to Power BI and Power BI Desktop
▸ Importing Excel, CSV and SQL data
▸ Power Query and data transformation
▸ Data modeling and relationships
▸ Star and Snowflake schemas
▸ DAX fundamentals
▸ Measures and calculated columns
▸ Interactive dashboards and reports
Module 11

Advanced Data Analytics
▸ Business KPI analysis
▸ Time-series analysis fundamentals
▸ Sales and customer analysis
▸ Customer segmentation
▸ Customer retention and cohort analysis
▸ A/B testing fundamentals
▸ Business performance analysis
▸ Data interpretation and business recommendations
Module 12

Live Projects & Practical Implementation
✔ Sales data analysis
✔ Customer behaviour analysis
✔ Business performance dashboard
✔ Employee data analysis
✔ E-commerce data analysis
✔ Real-world data cleaning and reporting
Tools & Technologies: MS Excel, MySQL, Postgres, Python, NumPy, Pandas, Power BI, Matplotlib, Seaborn.

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Our Data Analytics Training in Ranchi will help you succeed in your career. Enroll Now

 

INDUSTRIES WE SERVE

INDUSTRY SPECIFIC TRAINING

Our primary approach is to provide industry-specific training to our learners who have a zeal for working in corporate environments that adhere to respective industries. We offer training which can be acceptable for different industries.


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