CERTIFIED DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYST COURSE FEES IN DURHAM-CHAPEL HILL

Live Virtual

Instructor Led Live Online

2,060
1,167

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

1,030
665

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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UPCOMING DATA ANALYST ONLINE CLASSES IN DURHAM-CHAPEL HILL

BEST DATA ANALYTICS CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST CERTIFICATION IN DURHAM-CHAPEL HILL

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
Modeling, Evaluation, Deploying,Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to Statistics
  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's Minimum Sample Size
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction,
• Performing Comparison Analysis on Data
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Hands-on case study : Comparison Analysis
• Hands-on case study Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• Hands-on: Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join, Outer Join
• Left join, Right Join
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

OFFERED DATA ANALYST COURSES IN DURHAM-CHAPEL HILL

DATA ANALYST TRAINING COURSE REVIEWS

ABOUT DATAMITES DATA ANALYST TRAINING IN DURHAM-CHAPEL HILL

The demand for data analysts in the United States is growing rapidly, with an expected market size of $103 billion by 2023. As the reliance on data analytics continues to increase across various industries, so does the demand for skilled professionals in the field. If you're interested in pursuing a career in data analytics, now is the perfect time to do so.

The Certified Data Analyst Course in Durham Chapel Hill is designed to provide students with a comprehensive understanding of data analytics principles and techniques. The course covers essential topics such as data modeling, data visualization, and statistical analysis, making it suitable for individuals with little to no background in data analytics, as well as those with some experience who want to enhance their skills and gain professional certification. With IABAC accreditation, the Certified Data Analyst course ensures global recognition and credibility for aspiring data analysts worldwide.

Durham-Chapel Hill is a thriving hub for data analytics, with a growing number of businesses and organizations adopting data-driven strategies to make informed decisions. Getting certified in data analytics can significantly improve your career prospects, particularly in Durham-Chapel Hill, where competition for skilled professionals is high. The Certified Data Analyst Training in Durham Chapel Hill provides students with a globally recognized certification that is respected by employers worldwide, making it easier to land a job in the field. 

Enrolling in the Certified Data Analytics Course in Durham-Chapel Hill can be the first step towards a fulfilling career in data analytics, allowing you to gain valuable skills, obtain a professional data analytics course, and explore numerous career opportunities in this rapidly growing industry.

Along with the data analyst courses, DataMites also provides python training, deep learning, data engineer, data analytics, r programming, mlops, artificial intelligence, machine learning and data science courses in Durham Chapel Hill.

ABOUT DATA ANALYST COURSE IN DURHAM-CHAPEL HILL

Data analytics is the process of examining and interpreting large sets of data to uncover patterns, insights, and information that can be used to make data-driven decisions.

A data analyst's job description includes collecting and interpreting large amounts of data, identifying trends and patterns, and using data visualization techniques to communicate their findings to others.

Data analysts are in high demand in industries where data plays a crucial role in decision-making, including healthcare, finance, retail, technology, and various others.

The job of a data analyst involves tasks such as collecting and processing large amounts of data, conducting statistical analyses, and generating insights to inform decision-making.

A career in data analytics requires personal traits such as strong critical thinking and problem-solving skills, attention to detail, curiosity, and a passion for working with data.

A certified data analytics course fee in Durham Chapel Hill can cost anywhere between 600 USD to 1600 USD, depending on the mode of training opted for.

DataMites in Durham Chapel Hill is considered the best institution for data analytics training due to its comprehensive programs and courses that equip students with practical skills and experience needed for success in the data analytics industry.

Yes, there is a shortage of skilled data analysts in the job market, which has led to increased competition among companies to attract and retain top talent.

Yes, the Certified Data Analyst Course provided by DataMites in Durham Chapel Hill is designed for both beginners and working professionals.

If you are interested in learning data analytics, I would suggest considering the Certified Data Analyst Course offered by DataMites in Durham Chapel Hill. This course is designed to equip learners with the necessary skills and knowledge required for data analytics, including programming languages, statistical analysis, machine learning, and data visualization. It is a comprehensive program that caters to both beginners and working professionals, and the online availability of the course makes it accessible from anywhere in the world.

According to INDEED.com, the average salary for a data analyst in Durham Chapel Hill is 58,291 USD a year. 

The top job roles in data analytics include data analyst, data scientist, business intelligence analyst, data engineer, and machine learning engineer. These roles involve working with data to extract insights and develop data-driven solutions to improve business operations and decision-making.

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FAQ’S OF DATA ANALYST COURSE IN DURHAM-CHAPEL HILL

DataMites offers several advantages in their data analytics course, including:

  • A comprehensive curriculum that covers all essential concepts and skills required for a career in data analytics
  • Industry-relevant training provided by experienced instructors
  • Hands-on experience with real-world datasets, ensuring practical exposure to the field
  • Flexi-Pass option for flexible learning
  • Affordable course fees with various payment options
  • Internship opportunities to gain real-world experience
  • A globally recognized certification approved by IABAC, ensures the quality of education.

DataMites' certified data analyst course in Durham Chapel Hill offers several distinctive features that make it stand out from other programs. One of the key highlights is that the course is designed by industry experts who ensure that students receive the most relevant and up-to-date training in the field. Furthermore, the program offers hands-on training with real-world datasets, providing students with practical skills that they can apply in their future careers. The course is also approved by IABAC, a global organization that assures the quality of education. Finally, the course is designed to be flexible, with both online and offline options available, making it accessible to a wider range of students.

DataMites offers certified data analytics training at varying prices depending on the type of training preferred. Typically, in Durham Chapel Hill, a certified data analytics course may cost anywhere from USD 552 to USD 1,430.

DataMites' data analytics course distinguishes itself from other courses with its in-depth curriculum, knowledgeable faculty, practical training with real-world datasets, flexible learning modes, reasonable pricing, and internship possibilities.

DataMites instructors provide one-on-one support sessions to help students better understand course topics.

Students enrolled in DataMites' Certified Data Analytics Course in Durham Chapel Hill attend regular classes and receive ongoing mentorship throughout the six-month program, which includes 20 hours of instruction per week.

If you have an interest in data analytics, you can enroll in DataMites' Certified Data Analyst Program in Durham Chapel Hill, as there are no specific prerequisites or eligibility requirements for the course.

For the Certified Data Analytics Course in Durham Chapel Hill provided by DataMites, students can make payments using cash, checks, debit cards, credit cards (Visa, Mastercard, and American Express), PayPal, and net banking.

To provide an exceptional learning experience, DataMites' trainers for the Certified Data Analyst Course are carefully selected based on their expertise, experience, and teaching abilities.

The Flexi Pass offered by DataMites allows students to customize their learning journey by selecting the specific topics they want to learn and paying for them separately, without committing to a full-length program.

Upon successfully completing the Data Analytics Training program in Durham Chapel Hill, students at DataMites are awarded IABAC® certification.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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