CERTIFIED DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYST COURSE FEES IN DHAKA

Live Virtual

Instructor Led Live Online

BDT 115,120
BDT 65,322

  • 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

BDT 57,560
BDT 37,432

  • 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 DHAKA

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 DHAKA

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 DHAKA

DATA ANALYST TRAINING COURSE REVIEWS

ABOUT DATAMITES DATA ANALYST TRAINING IN DHAKA

The data analytics market size is expected to reach USD 329.8 Billion by 2030 at a growing CAGR rate of 29.9% according to an Acumen Research and Consulting report. As digitalization and technology become more prevalent in various sectors of Dhaka, data analytics is becoming increasingly important. Businesses are recognizing the potential for valuable insights to be generated from data, resulting in a growing demand for professionals with data analytics skills in the country.

DataMites is a prominent provider of data analytics course in Dhaka, renowned for its Certified Data Analyst program that equips beginners and intermediates with an extensive knowledge of data analytics. The course covers various topics including data science fundamentals, statistics, visual analytics, data modeling, and predictive modeling, making it a comprehensive curriculum that does not require prior coding experience. The primary aim of the program is to teach students how to extract meaningful insights from unstructured data and use them to make informed business decisions, thereby preparing them for a career in data analytics. DataMites offers students a specialized syllabus, mock tests, high-quality study materials, job placement, and internship programs to meet industry requirements.

The Certified Data Analyst Training in Dhaka is a six-month course that includes two months of live online instruction, two months of hands-on projects, and two months of the internship experience. This approach allows students to gain practical experience and apply the concepts they learned in real-world scenarios, increasing their chances of landing entry-level analytics jobs. The course emphasizes the entire data analysis process, from data cleaning to visualization, and is taught by highly qualified instructors who are experts in extracting valuable insights from raw data. Additionally, the course has received approval from IABAC, a globally recognized organization, which further enhances its credibility and industry acceptance.

Dhaka's thriving tech industry and skilled workforce make it a promising location for businesses looking to invest in data analytics. One emerging trend in the country's data analytics industry is the increasing use of machine learning and artificial intelligence (AI) in various business applications. Thanks to the abundance of large datasets and advanced algorithms, companies can now gain valuable insights into consumer behaviour, market trends, and other significant factors. To pursue a successful career in this field, individuals may want to consider enrolling in DataMites Certified Data Analyst Course in Dhaka.

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 Dhaka.

ABOUT DATA ANALYST COURSE IN DHAKA

Data Analytics is the process of examining and interpreting data to gain insights and make informed decisions. It involves analyzing data using statistical and computational techniques to extract meaningful insights and patterns that can be used to improve business operations, products, and services.

Data Science involves the use of advanced analytical and statistical techniques, including machine learning and artificial intelligence, to extract insights from data. Data Analytics, on the other hand, focuses on using data to make informed business decisions.

While a background in mathematics, statistics, or computer science can be helpful, a career in data analytics is open to individuals from various educational and professional backgrounds. Many data analysts and scientists come from fields such as engineering, economics, or even humanities. However, it is crucial to have a fundamental understanding of data analytics tools, programming languages, and statistical concepts to succeed in this field. Therefore, acquiring relevant skills and certifications through training or educational programs can help individuals pursue a successful career in data analytics.

  • Strong analytical and problem-solving skills
  • Proficiency in data manipulation and analysis tools such as SQL, Python, and R
  • Knowledge of statistical and mathematical concepts
  • Excellent communication and presentation skills
  • Ability to work with large datasets and extract meaningful insights
  • Data visualization tools such as Tableau, Power BI, and QlikView
  • Statistical analysis software such as SPSS, SAS, and Stata
  • Machine learning libraries such as sci-kit-learn and TensorFlow
  • Big data technologies such as Hadoop and Spark
  • Data cleaning and wrangling tools such as OpenRefine and Trifacta.

The cost of Data Analytics training can vary depending on the institute and the level of training desired. In Dhaka, the fees for Data Analytics training can range from 446.08 BDT to 1003.68  BDT with different institutes offering different rates.

If you are looking to pursue a career in the analytics industry, DataMites can be a great option for your training needs. The trainers at DataMites are not only highly skilled but also possess relevant industry experience, and the course curriculum is thoughtfully crafted. Moreover, DataMites provides hands-on training to students through internships and project work, allowing them to gain practical experience in real-world scenarios.

The field of data analytics offers a plethora of employment opportunities in diverse sectors such as healthcare, finance, marketing, and e-commerce. There are various job roles available in data analytics, such as data analyst, business analyst, data scientist, data engineer, and data architect, among others, which are highly sought after.

Data analytics can be applied in various industries, such as finance, healthcare, marketing, e-commerce, telecommunications, transportation, and energy, among others. It can be utilized to extract valuable insights and patterns from large sets of data, which can aid in making informed decisions, predicting trends, and improving overall business performance. Data analytics is particularly useful in areas such as customer behaviour analysis, risk management, fraud detection, supply chain optimization, and product development.

The salary of a data analyst in  Dhaka ranges from BDT 30,00,000 per year according to the PayScale report.

FAQ’S OF DATA ANALYST COURSE IN DHAKA

DataMites offers a valuable option in the field of data analytics with their data analyst certification training. This certification provides tangible proof of one's ability to assist companies, including well-known multinationals, in interpreting data effectively through comprehensive training in data analytics. It also indicates that individuals are qualified to fulfil specific job roles according to professional standards, unlike a mere data analytics certificate.

The Certified Data Analyst Course offered by DataMites is an excellent option for those interested in pursuing a career in data analytics or data science, as it is a No-Coding Course. The Data Analytics Training program in Dhaka provided by DataMites is meticulously designed and organized, catering to individuals who are new to the subject by providing a comprehensive understanding of the entire topic. Therefore, if you are intrigued by the concept of analytics, enrolling in this program can be an ideal choice for you without any hesitation.

DataMitesTM (IABAC) is a global institute for data science that has been approved by the International Association of Business Analytics Certifications. With an impressive track record of training over 50,000 candidates in data science and analytics, DataMites follows a structured three-phase learning process to offer the best possible training. Participants can work on real projects and case studies that are highly relevant and informative. Additionally, upon completing the training, individuals can obtain the internationally recognized IABAC Data Analytics Certification. There is also an opportunity to work as an intern with Rubixe, a leading technology company in AI.

DataMites offers a highly-regarded data analytics program called the Certified Data Analyst curriculum, which is authorized by the globally recognized IABAC. Upon completion of the course, individuals can obtain the IABAC credentials, which are highly valued in the industry. Obtaining the DataMites Certified Data Analyst certification is an excellent way to start a career in data analytics.

The cost of DataMites' certified data analytics training can vary depending on the type of training you select. Typically, in Dhaka, the cost of a certified data analytics course can range from 60,874 BDT to 113,120 BDT  depending on the mode of training.

You will receive six months of data analytics training from DataMites, including 20 hours of instruction every week.

If you are considering a career as a data analyst, the DataMites Certified Data Analyst Training is an excellent choice that you can pursue without any hesitation. The comprehensive curriculum of this program guarantees to provide you with the necessary knowledge, skills, and certifications required to begin a successful career as a data analyst from scratch.

For the Certified Data Analytics Training, DataMites provides a Flexi-Pass that enables candidates to attend any relevant sessions within a three-month period for the purpose of revision or clarification. This allows candidates to choose sessions based on their specific needs and address any questions or doubts they may have during the training period, providing them with greater flexibility.

DataMites accepts various payment methods, including cash, debit card, check, credit card (Visa, Mastercard, American Express), PayPal, and net banking, providing customers with multiple payment options.

Yes, DataMites provides IABAC® accreditation to ensure that the relevant skills are recognized globally, highlighting the importance of obtaining this 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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