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Data Analytics Certification in Nagpur

Duration: 2 Months

Your Key to Mastering Data Analytics

Steps Technology, the Best Data Analytics Training Institute in Nagpur. Our Data Analytics Certification Course is designed for anyone, whether you're new to the field or already working in the industry.

About Data Analytics Certification Course:

Data analytics is like detective work for information. It helps businesses make smart decisions by digging into data sets to find patterns and trends. In our course, we cover everything from basic business intelligence to advanced analytics, giving you a solid understanding of how data drives success.

Why Opt for Data Analytics?

Practical skills for today's job market are a key aspect. Participants acquire tools and techniques in demand across various industries. The ability to customize one's career path over time and the accessibility of learning for all, regardless of their professional background, make data analytics an attractive field of study.

Why Choose Steps Technology for Data Analytics Training?

At Steps Technology, our commitment goes beyond conventional training; we are dedicated to setting participants up for success. With seasoned trainers boasting a decade of hands-on experience, job placement support, affordable education through reasonably priced Data Analytics classes fees in Nagpur, and flexible learning options, our institute ensures a holistic learning experience.

Data Analytics Course Highlights:

Our course encompasses a wide range of crucial topics, including MySQL, Data Visualization, Exploratory Data Analysis, Statistics, Python Programming, Pandas, Tableau, Matplotlib, and Excel. These components form the building blocks of a comprehensive understanding of data analytics.

Online Learning at Steps Technology:

Discover the convenience of online learning with our Data Analytics Classes in Nagpur. Customize your schedule and learn at your own pace. Start your journey today!

The Steps Technology Advantage:

Swift job placement opportunities are a notable advantage for participants completing our program. A certification from Steps Technology opens doors to job opportunities in leading MNCs. With expert guidance from seasoned professionals, participants gain insights into forecasting and data analysis, contributing to their career distinction in the competitive field of data analytics.
Fuel your career ascent with Steps Technology, Nagpur's Data Analytics Training pioneer. Elevate your skills, chart your success. Join us – where your journey to mastery begins!

Course Curriculum:

  • Installation of Python
  • Variables
  • Input
  • Output
  • Data Types
  • Data Structures
  • Operators
  • Condition Statements
  • Loops
  • Functions
  • oops
  • Advance Module
  • Advance Functions
  • File Handling
  • Errors
  • Exception Handling
  • Numpy
    • Introduction to Numpy
    • Numpy Attributes
    • Array Creation
    • Indexing & Slicing
    • Iteration over an Array
    • Array Manipulation
    • Mathematical Operators
    • Relational Operators
    • Functions
  • Pandas
    • Introduction to Pandas
    • Series & DataFrame
    • Create DataFrame
    • Column Selection, Addition & Deletion
    • Row Selection, Addition & Deletion
    • Merging & Concatenation
    • Import of Data from Various Sources
    • Basic Insights of Datasets
    • Summarizing Data
    • Sorting
    • Discretization
    • Indexing and Selecting Data
    • Filtering Data
    • GroupBy
    • Exporting Data
    • Statistical Functions
  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Matplotlib
    • Histogram
    • Box Plot
    • Scatter Plot
    • Line Plot
    • Pie Chart
    • Bar Chart
    • Subplots
  • Seaborn
    • Bar Plot
    • Count Plot
    • Box Plot
    • Line Plot
    • Scatter Plot
    • Regression Plot
    • Pair Plot
    • Heatmap
    • Violin Plot
  • Dealing with Wrong Data
  • Dealing with Wrong Data Types
  • Treating Duplicates
  • Dealing with Missing Values
  • Handling Outliers
  • Dropping Unnecessary Columns
  • Basic Module
    • Introduction to Databases
    • Databases vs Spreadsheets
    • DBMS vs RDBMS
    • Introduction to SQL
    • SQL vs NoSQL
    • Installation of MySQL
    • Data Types in SQL
    • Keys - Primary Key & Foreign Key
    • Constraints
    • CRUD Operations
    • SQL Languages
    • SQL Commands
    • SELECT
    • SQL Clauses
    • Operators
    • Wildcards
    • Aggregation Functions
  • Advance Module
    • SQL Joins
    • Normalization
    • De-Normalization
    • SQL Functions
    • Subqueries
    • Common Table Expressions (CTE)
    • Views
    • Stored Procedures
  • Introduction
    • Power BI for Data Scientist
    • Types of Reports
    • Data Source Types
    • Installation
  • Basic Report Design
    • Data Sources and Visual Types
    • Canvas and Fields
    • Table and Tree Map
    • Format Button and Data Labels
    • Legend, Category and Grid
    • CSV and PDF Exports
  • Visual Sync, Grouping
    • Slicer Visual
    • Orientation and Selection Process
    • Slicer: Number, Text, Slicer List
    • Bin Count and Binning
  • Hierarchies, Filters
    • Creating Hierarchies
    • Drill Down Options
    • Expand and Show
    • Visual Filter, Page Filter, Report Filter
    • Drill Thru Reports
  • Power Query
    • Power Query Transformations
    • Table and Column Transformations
    • Text and Time Transformations
    • Power Query Functions
    • Merge and Append Transformations
  • DAX Functions
    • DAX Architecture and Entity Sets
    • DAX Data Types and Syntax Rules
    • DAX Measures and Calculations
    • Creating Measures
    • Creating Calculated Columns
  • Basic Module
    • Introduction to Tableau
    • Connections
    • Visual Analytics
    • Basic Charts
    • Sorting
    • Filtering
    • Grouping
    • Sets
    • Built-in Functions (Number, String, Date, Logical and Aggregate)
    • Operators and Syntax Conventions
    • Table Calculations
  • Advance Module
    • Types of Calculations
    • Trend Lines
    • Reference Lines
    • Forecasting
    • Advanced Plots
    • Dashboard