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Top 4 Data Analytics Courses in Soweto With Placements

For a business and company to flourish and succeed in this competitive world, it needs perfect data to asses further steps and sharpen the business. It is the role of data analytics to produce such data, making this job more demanding and appealing. Data analytics is the amalgamation of Information Technology, business, and statistics. It plays a crucial role in industries like finance and banking. Data analytics withholds various branches of career paths, which is an advantage. This article is here to provide you with insight into what data analytics is, what role data analysts play, and the data analytics courses in Soweto.

List of best data analytics courses in Soweto

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Top 4 Data Analytics Courses in Soweto With Placements

Rank #1. Data Analytics Courses in Soweto

1. IIM SKILLS

IIM SKILLS has established itself as one of the well-known educational online platforms. What started as a training program for Content writing has grown into this vast educational foundation that now provides various courses all around the world through online mode.

A few of their most taken-up courses are Digital Marketing Master Course, Financial Modeling Master Course, Data Analytics Master Course, Investment Banking Master Course, Artificial Intelligence Marketing Professional Course, etc.

 
IIM SKILLS has so far trained students more than 35000 globally who were from more than 35 countries. In their period as a functioning education institution, they have provided more than 9500 training with faculties who are experts in the required fields with more than 12 years of experience.

The Data Analytics courses in Soweto offered by IIM SKILLS offer practical learning rather than theoretical learning which gives students insight about the real work.

Also Read: IIM SKILLS Data Analytics Course Review

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

Fees: 11522.43 South African Rand + Tax

EMI: Interest Free

Certification: Yes

 
Core Modules:

  • Data Analytics Using Advanced Excel – (total of 9 hours)
  • Data Analytics Using VBA – (15 hours)
  • Data Analytics Using SQL – (39 hours)
  • Data Analytics Using Power BI – (24 hours)
  • Data Analytics Using Python – 1 – (10 hours)
  • Data Analytics Using Python – 2 – (10 hours)
  • Data Analytics Using Tableau – (15 hours)
  • R for Data Science – (20 hours)
  • Data Analytics Using Alteryx – (18 hours)

Subjects That Are Covered Under Each Core Module:

Data Analytics Using Advanced Excel 2

  • Data Handling – An Introduction
  • Data Visualisation in Excel
  • Data Manipulation Using Functions
  • Data Analysis and Reporting
  • Dashboards – An Overview
  • Creating Dashboards in Excel with the help of Pivot Controls

Data Analytics Using VBA

  • VBA – An Introduction
  • Programming Language – Key components
  • VBA’s work with Excel
  • VBA – Programming Constructs
  • Procedures and Functions in VBA – Modularizing programs
  • Memory Management and Objects in VBA
  • Communicating with Users

Data Analytics Using SQL

  • Basics RBDMS Concepts
  • The Use of Object Explorer
  • DDL Commands (Data Based Objects Creation)
  • DML Commands (Data Manipulation)
  • SQL Server Reporting Services
  • SQL Server Integration Services

Data Analytics Using Power BI

  • Introduction
  • Data Preparation and Modeling
  • Remove and Keep Rows, Add Remove and Go To Columns
  • DAX – Data Analysis Expression
  • Reports Development – Visuals in Power BI

 
Data Analytics Using Python – 1

  • Basic Statistics – An Introduction
  • Mathematical Foundation – An Introduction
  • Analytics and Data Science – An Introduction
  • Python Essentials – Core
  • Operations with NumPy – Numerical Python
  • Pandas – An Overview
  • Cleansing Dat with Python

Data Analytics Using Python – 2

  • Data Analysis Using Python
  • Basic Visualization Tools
  • Visualizing Geospatial Data
  • Data Visualization with Python
  • Statistical Methods and Hypothesis Testing
  • Advanced Visualization Tools

Data Analytics Using Tableau

  • Getting Started
  • Data Handling and Summaries – 1
  • Data Handling and Summaries – 2
  • Building Advanced Reports and Maps
  • Calculated Fields
  • Table Calculations

R for Data Science

  • Data Importing and Exporting
  • Data Manipulation
  • Data Analysis
  • Data Manipulation
  • Using R with Databases
  • Data Visualization with R
  • Statistics – An Introduction
  • Testing
  • Linear Regression: Solving Regression Problems

Data Analytics Using Alteryx

  • Alteryx Course and Fundamental Concepts – An Overview
  • Understanding Alteryx Settings and the User Environment
  • Using the Select tool to change the data type, rename files
  • Understanding the Alteryx Designer
  • Remove from a data set
  • Connect to a data source
  • Workflow and user settings
  • Set data field types
  • Rename and Remove fields
  • Data Processing and Filtering Data
  • Filtering with the use of String Data
  • Join data and S Blending from different sources
  • Find Customers with 10 or more transactions
  • Dynamic rename, Input Data, Transpose, and Text to Columns
  • Identifying common data fields
  • Data Cleansing
  • Impute Values
  • Random Sample
  • Look how all records fit the filter

Before you join the actual course, learners who are interested in the course can take up an online demo class from IIM Skills. The Analytics Tools that you will master once you take up the course are:

  • Excel
  • Power Bi
  • Tableau
  • Python
  • Alteryx
  • SQL
  • R

In IIM SKILLS, the learners who have enrolled in the course can have lifetime access to the source materials. They have 24*7 career-building support and offer guidance for those who are in need. One of the perks of IIM Skills is that they offer live recordings of every class and those who missed the class will never be left behind.

Contact details – +91 9580740740

Mail Id – [email protected]

 
Must check out here the best:

 

Rank #2. Data Analytics Courses in Soweto

2. Coursera

Coursera is one of the best easily accessible and learner-friendly online learning platforms globally. The Courses that Coursera offers vary from job-ready certificates to degree programs.

Most of the courses that are available in Coursera are free with a free trial. Since the courses are available online, the time when students learn the courses can be flexible according to their comfort and availability.

Name of the Course – Google Advanced Data Analytics Capstone

The language the course is taught – English

Duration of the Course – 9 hours (Approximately)

Mode of Learning – Self Study via Online Mode

Course Fee – The course is completely free, but to receive the certificate the learners need to pay Rs.1,053 after the completion of the course.

Certification –

Once the Course is completed, the learner is rewarded with a course completion certificate named Google Advanced Data Analytics Professional Certificate.

Level – Advanced

Timing of the Course – Learners can learn at their own pace

Mode of how the Course is delivered – Online Video and Text

Skills That You Will Acquire Through This Course:

  • Python Programming
  • Data Analytics
  • Executive Summaries
  • Machine Learning
  • Technical Interview Preparation

Total Module of the Course – 3

Capstone Project (4 hours)

This module has 3 videos and five readings. It also includes three quizzes and 1 discussion prompt.

  • Course Introduction
  • Capstone Project – what to look forward
  • Capstone Project wrap-up
  • Tips for ongoing career success
  • Helpful Tips and Resources
  • Course 7 Capstone Projects – An Introduction
  • Activity Exemplar: Course 7 Capstone project exemplar
  • Include your project in a portfolio
  • Create Course 7 Capstone Project
  • Asses Course 7 Capstone Project
  • Discussion Prompt – Reflecting on the Capstone Project

 
Explore more about the in-demand:

 

Data-Focused Career Resources

This Module contains ten videos and seven readings. It also has 4 quizzes that help the learners assess how much they have learned.

  • The Data Professional hiring process
  • Include projects in the data analytics portfolio
  • Perfect your resume
  • Create an appealing Resume
  • Get ready for interviews
  • Data Careers
  • Importance of Online Presence
  • Tips to enhance online presence
  • Make a unique resume
  • Communicating Skills and assets
  • Workshop for Resume Writers
  • Activity Exemplar – Optimize resume
  • Start LinkedIn
  • Strengthen connection on LinkedIn
  • Prepare for Interviews

Advanced-Data Analytics Certification to work

This module has two videos and 3 readings. A quiz is also included in this module along with 1 plugin.

  • Showcase the work done by the learners
  • Get hold of your Google Advanced Data Analytics Certificate Badge
  • Glossary – Advanced Data Analytics Certificate
  • Checklist – End-of-certificate
  • Course Survey

Eligibility – Even though this data analytics capstone course is a basic course offered by Coursera, it is a must for the candidates to have basic mathematics to take up this course.

This Data Analytics Course is offered and awarded by Google. This course also has 1 week of free trial.

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Rank #3. Data Analytics Courses in Soweto

3. Excelr

If you are looking for Data Analytics in Soweto, then Excelr might be one of the best choices. Since 2014, Excelr has been providing its service as a significant platform and space for learning, training, and upskilling students with their educational programs.

They have both online classrooms and online training. The trainers who teach the students are well-equipped with years of experience in their respective fields. Excelr headquarters is located in the USA and they have branches all around the UK, Australia, the Middle East, the Netherlands, and India.

Apart from the Data Analytics Course they also provide various other courses. A few of the courses are Data Science Programs, Artificial Intelligence, Digital Marketing Programs, Data Visualization Programs, Cloud Computing, Robotic Process Automation Training, etc…

Name of the Course – Data Analyst or Analytics Certification

Duration of the Course – 150 hour

Who can take up the course – Freshers, Working Professionals.

Highlights of the Data Analytics Course:

  • More than 5 Capstone Projects
  • Assignments that are more than 80 and Case Studies
  • More than 4 skills are covered
  • Tools that are covered in this course are more than 8
  • An internship is offered that is more than 60 hours with AiVariant
  • Five Value Added Courses

Skills That Are Covered in This Course:

  • Data Analytics Concepts
  • Database Concepts
  • functionsCharts and Slicers
  • Data Visualization

Tools and Technologies that are Covered in the Data Analytics Course:

  • MySQL
  • Excel(Basic and Advanced)
  • Tableau
  • PowerBi
  • Python Programming
  • R Programming Fundamentals
  • SAS – Sel-paced

 
Value-Added Courses That Are Provided Along With the Core Da Course:

  • Python Programming
  • Fundamentals of R
  • Business Statistics
  • SAS – Self-Paced
  • ChatGPT

Certification:

  • Course Completion Certificate – Data Analyst Certification
  • Internship Completion Certificate – Internship Project through Data Analytics

Course Curriculum:

Excel

  • Introduction
  • Referencing, Uses, Named Ranges, Arithmetic Functions
  • Logical Functions
  • Referring to Data from different tables: Various types of Lookup, and Nested IF
  • Advanced Functions
  • Date and Text Functions
  • Data Handling: Data Type identification, Data Cleaning, Remove Duplicates, Filtering, and Formatting
  • Data Visualization: Charts, and Conditional Formatting
  • Data Summarization: Charts, and Pivot Report
  • Data Summarization: Tips, Tricks, and Dashboard Creation
  • Connecting to Data: Pivot, Power Query, and Power Pivot with Excel
  • Macros and VBA

MySQL

  • MySQL – An Introduction
  • Data Types and SQL Commands
  • DQL and Operators
  • Group Operations and Aggregate Functions
  • A case when then & Handling NULL Values
  • Joins
  • Constraints
  • DDL
  • DML and TCL Commands
  • Stored Procedure
  • Views and Indexes
  • Constructs, and Function
  • Intersect, Union, and Sub-query
  • Exception Handling – Triggers
  • Exception Handling – Handling exceptions in a query

Tableau

  • Tableau – An Introduction to it
  • Formatting and Basic Charts
  • Filters
  • Calculations
  • Custom Charts
  • Data Combining Techniques
  • Bins, Groups, Sets, Hierarchies, and Parameters
  • Dashboard and Analytics
  • Tableau Public, and Dashboard Actions

Power BI

  • Introduction and Installation of Power BI
  • Power BI User Interface that includes types of data sources, and visualizations
  • Sample Dashboard with Animation Visual
  • Power BI – Artificial Intelligence (AI) Visual
  • Power BI Visualization
  • Power Query Editor
  • Modeling with Power BI
  • Power Query Editor Filter Data
  • Power BI – Customize the data in it – understanding the tooltip
  • Power BI – Customize the data in it – Drill through the usage and function
  • Dax Expressions
  • Custom Visual
  • Power BI Service

 
Value Added Courses – Curriculum

R Programming

  • R – An Introduction, Data Types in R, and Installation of R Studio.
  • Loops, Functions, and Decision Making Statements
  • Built-in Functions in JOins, R, ggplot2, and dplyr

Python Programming

  • Anaconda Installation, Python, Operators, and Data Types – An Introduction to it
  • Set Theory, Sets, Decision Making Statements, and Regular Statements
  • Functions, Loops, Lambda Functions, and Modules
  • Numphy, Matplotib, Seaborn, and Pandas

Business Statistics

  • Probability, and Normal Distribution
  • Descriptive Statistics
  • Inferential Statistics
  • Data Insights, and Data Cleaning

ChatGPT

  • ChatGPT and Artificial Intelligence (AI) – An Introduction to it
  • Types of Artificial Intelligence(AI), and ChatGPT Architecture
  • ChatGPT Pllications, and Functionalities
  • ChatGPT Prompt Engineering

Special Key Features in Excelr Data Analytics Program:

  • A session for Resume Preparation
  • Optimization of LinkedIn Profile
  • Mock Interviews
  • Interview preparing sessions that make candidates ready for Interviews which start from Day 1
  • The learning materials are available even after the completion of the course. So, even after the completion of the course the students can come to their study materials and go through their recorded sessions and study materials
  • Excelr offers post-training support and excellent mentorship to their students who will assist the students while doing their assignments, and projects.

Data Analytics Course Fee in Excelr – Rs. 44,999 (EMI option Available)

Payment Options:

  • NetBanking
  • UPI
  • Debit Cards or Credit Cards

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Rank #4. Data Analytics Courses in Soweto

4. Intellipaat

Intellipaat is one of the excellent picks if you are looking for the best data analytics courses in Soweto. Known for providing high-quality content, Intellipaat is one of the best online educational platforms to provide various courses globally.

The courses that are available in Intellipaat are carefully curated by industry experts. They have more than 150 technical training courses and have so far trained more than 6,00,000 learners.

 
One of the major perks of Intellipaat is that it not only makes students well-equipped with the knowledge and understanding of new technologies but also makes them capable of those available new technologies.

Popular courses from Intellipaat are Digital Marketing Course, SQL Course, Python Course, UI UX Designer Course, Tableau Course, etc…

Name of the Course – Data Analytics Course

Course Duration of the Data Analytics Course in Intellipaat – 7 months

Mode of Learning – Interactive classes that are online

Mode of how the classes are delivered – Text, Video, and Live Classes

Tools That You Will Master During the Course Duration:

  • R
  • Excel
  • SQL
  • Power BI
  • Presto
  • Python
  • KNIME

Skills That You Will Master in This Data Analytics Course:

  • Data Analysis
  • SQL
  • Data Wrangling
  • Prediction Algorithms
  • Data Visualization
  • Time Series
  • Machine Learning
  • Power Bi
  • Advanced Statistics
  • Data Mining
  • R Programming

Syllabus of the Data Analytics Course:

MODULE 1 – SQL

  • SQL – An Introduction
  • SQL Operators
  • SQL Views, Stored Procedures, and Functions
  • SQL Optimization, and Performance
  • Practice Session
  • Advanced Topics
  • Database Concurrency – Managing it
  • SQL Function – deep diving into it
  • Working with SQL – Tables, variables, and Join
  • Entity Relationship Model, and Database Normalization (Self-paced)
  • Working with Subqueries
  • User-defined Function – A deep dive into it
  • Case Study

MODULE 2 – Python

  • Python and IDEs – An Introduction to it
  • Basics of Python
  • Data Manipulation with Pandas, Numphy, and Visualization
  • Case Study

MODULE 3 – Statistics and Probability

  • Descriptive Statistics
  • Probability
  • Inferential Advanced Statistics (delivered by academic faculty)
  • Case study

MODULE 4 – Performance Metrics

  • Confusion Matrix
  • Classification reports

MODULE 5 – Time Series Forecasting

  • Make use of time series data, useful forecasting solutions, and insights

MODULE 6 – Business Problem Solving, Storytelling, and Insights

  • Business Domains
  • Understanding the Business problems and formulating it
  • Hypothesis
  • Data Storytelling – Narrate stories in a memorable way
  • Exploratory Data Analysis to collect insights
  • Case Study

MODULE 7 – Data Modelling

  • Feature Selection
  • Model Tuning
  • Feature Engineering

MODULE 8 – Data Analytics Capstone

  • Problem Statement, and Objectives of the Projects
  • Approach for the solution
  • Evaluation Metrics
  • Optimum Solutions
  • To gather Actionable Insights

MODULE 9 – Business Case Studies

  • Sales Forecasting
  • Customer Churn
  • Predictive Modeling
  • Census
  • HR Analysis
  • Dimensionality Reduction
  • Housing

MODULE 10 – Machine Learning

  • Machine Learning – An Introduction to it
  • Regression
  • Classification
  • Clustering
  • Unsupervised Learning
  • Supervised Learning
  • Disease Prediction
  • Inventory Management
  • Customer Segmentation

 
MODULE  11 – Microsoft Excel

  • Fundamentals of Excel
  • Microsoft Excel for Data Analytics
  • Data Visualization with Excel
  • Getting Started with VBA Macros
  • Statistics with Excel

MODULE 12 – Visualizations using Power BI

  • Basics of Power BI
  • DAX – Data Modeling, Time Intelligence Functions, DAX, Advanced Features of DAX
  • Data Visualization with Analytics
  • Case Study

Job Readiness:

  • Building own Resume
  • Teaching Job Searching Strategy
  • Creating your own LinkedIn Profile
  • Sessions solely for Interview Preparations that are conducted by Industry Experts
  • Mock Interviews
  • Opportunities for Placements

Certification –

Once you are done with your data analytics course, you will be provided with your course completion certificate i.e. Advanced Certification in Data Analytics. They also receive two additional certificates which are SQL Certification, and Power BI Certification

One of the unique features of Intellipaat is that you can chat and interact with your learning peers from all batches and classes including even the alumni of the institution.

As one of the Data Analytics Courses in Soweto, Intellipaat stands unique in offering this exceptional communicative platform that helps learners communicate with other people and share various interview experiences, project collaborations, and even job referrals.

Eligibility – Any Individual who aspires to learn data analytics or those who want to enhance and upskill can opt for this program

Course Fee – Rs. 70,053 (EMI option available)

Here we sum up the list of the top 4 Data Analytics Courses in Soweto.

Frequently Asked Questions 

1. What is the average salary of a Data Analyst who has finished their data analytics courses in Soweto?

According to Glassdoor, an average Data Analyst is paid ZAR 486,002 annually in South Africa. They also get additional pay which is approximately ZAR 48,000 per year. This additional pay might include commissions, tips, profit sharing, and bonuses.

2. What are the skills that are expected from a Data Analyst who has completed their data analytics courses in Soweto?

Data Analysts who have completed their data analytics courses in Soweto and those who are working in the field are expected to withhold certain skills. These skills are:

  • SQL, and NoSQL
  • Linear Algebra, and Calculus
  • Data Cleaning
  • Data Visualization
  • Machine Learning.

3. Is data analytics career good?

Data analytics is definitely one of the most preferred career options with a high pay scale.

Conclusion:

As big companies and businesses are moving towards acquiring accurate data for flawless calculations and outcomes, the job of a data analyst is demanding and growing in the present time. Observing the rapid growth in the field of data analysis, I hope this article on Data Analytics Courses in Soweto might give you the required insights into the available best Data Analytics Courses in Soweto that are accessible online and are self-paced. I hope you find your way on your path as a data analyst.

 

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