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CoursesData Analytics And Bi TrainingData Analytics Certification Training
Data Analytics And Bi Training
Data Analytics Certification Training
With our Data Analytics Certification Training by Techpratham, you'll learn how to turn raw data into useful information. Find out how to use tools, techniques, and frameworks to make business decisions based on data.
5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

What is Data Analytics Certification Training?
This course covers all the basics of data analytics, including how to collect, clean, visualize, and model data to make predictions. You will learn how to use industry tools like Excel, SQL, Python, and Tableau/Power BI by doing them yourself. Find out how to read complicated datasets, make dashboards that matter, and use analytics to solve real-world business problems. After this training, you'll be ready for jobs in business intelligence and data analysis.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

Data Analytics Certification Training Course Curriculum
.

Introduction to Data Analytics
Section 1

Understand the fundamentals of data analytics and its business applications.
Data types
Data lifecycle
Business use cases
Tools & technologies
.

Data Collection & Data Sources
Section 2

Recognize how to collect data from various sources, both structured and unstructured.
Primary vs Secondary data
Databases, APIs, spreadsheets, logs
Web scraping basics
Data warehousing concepts
.

Data Preparation & Cleaning
Section 3

To ensure accurate analysis, learn how to clean, transform, and preprocess data.
Handling missing values & duplicates
Data transformation & normalization
Outlier detection
Data pipelines (ETL: Extract, Transform, Load)
.

Exploratory Data Analysis (EDA)
Section 4

Find trends, identify abnormalities, and provide a statistical and visual summary of datasets.
Descriptive statistics (mean, median, variance, correlation)
Data profiling
Visual exploration with charts & graphs
Tools: Python (Pandas, Matplotlib), Excel
.

Data Visualization
Section 5

Develop your ability to convey ideas through captivating and understandable images.
Principles of effective visualization
Dashboards & storytelling with data
Tools: Power BI, Tableau, Excel
Advanced visualizations (heatmaps, treemaps, interactive charts)
.

Statistical Analysis for Data Analytics
Section 6

Utilize statistical methods for data analysis and interpretation.
Probability distributions
Hypothesis testing
Regression analysis (linear & logistic)
Correlation & causation
.

SQL for Data Analytics
Section 7

To query, filter, and examine data kept in relational databases, learn SQL.
SQL basics: SELECT, WHERE, ORDER BY
Joins, subqueries, CTEs
Aggregations & window functions
SQL for business reporting
.

Python/R for Data AnalyticsData Data visualization libraries (Matplotlib, Seaborn, ggplot2)
Section 8

Automate and carry out advanced analytics with programming.
Data handling with Pandas/Numpy (Python) or dplyr/tidyverse (R)
Data wrangling & cleaning
Intro to machine learning with Scikit-learn
.

Business Intelligence & Reporting
Section 9

Make dashboards and reports to aid in decision-making.
Power BI dashboards
Tableau storytelling
Automated reporting with Python/Excel
KPIs & business metrics
.

Introduction to Big Data & Cloud Analytics
Section 10

Examine cloud platforms and large-scale data analytics tools.
Big Data basics (Hadoop, Spark concepts)
Cloud analytics tools (Azure, AWS, Google BigQuery)
Data lakes vs Data warehouses
Scalability and performance considerations
Key Projects
Data Analytics Certification Training
Sales Performance Dashboard
Make an interactive dashboard in Power BI or Tableau to look at sales performance by region and product. The project is all about cleaning up data, looking for trends, and setting key performance indicators (KPIs) so that management can make decisions based on data.
Customer Churn Prediction
Use Python and machine learning to figure out how likely it is that a telecom company will lose customers. This project includes cleaning up the data, making new features, and making predictive models to find customers who are at risk.
Market Basket Analysis
Use association rule mining on data from retail transactions to find patterns in how people buy things. This project helps with analyzing customer behavior, making recommendations, and cross-selling.

Data Analytics Certification Training – Associate Training Program

Category
Associate
Exam Name:
Data Analytics Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
Our Testimonials
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Ritika
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Google Review
"My experience with Tech Pratham Institute has been excellent. The course content is well-updated according to industry standards, with a strong focus on practical learning. The faculty members are knowledgeable and very supportive, always clearing doubts with patience."
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Shubham Sinha
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Chauhan Deco
3 weeks ago
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Google Review
"I had an excellent experience with Tech Pratham's data analytics training program. The course content was well-structured, up-to-date, and highly practical, covering tools like Excel, SQL, Python, and Power BI. Thanks to Tech Pratham, I now feel confident in my data analytics skills and have even landed my first job in the field."
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Dimpy
2 months ago
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Google Review
"Joining Tech Pratham Institute has been a life-changing decision for me. The support and encouragement I received from the faculty gave me the confidence to believe in myself. The environment here feels more like a family than just a classroom."
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Amarjeet Kumar
2 months ago
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Google Review
"I joined Tech Pratham's SAP HCM course and it was a fantastic experience! The trainers explained complex HR modules in a very simple way, and the hands-on sessions helped me build real skills. Highly recommended for anyone looking to build a career in SAP HCM!"
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Shashi Ranjan
2 months ago
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Google Review
"I had a wonderful learning experience with the Workday HCM course at Tech Pratham under Roy Sir's guidance. His teaching style is very clear, practical, and easy to understand even for beginners. The real-time examples and assignments made concepts crystal clear."
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Akash Solanki
2 months ago
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"My experience with the Ethical Hacking training session from Tech Pratham located in Noida was excellent. The trainers ensured we understood every concept thoroughly. The placement support was remarkable, leading to my successful employment. Choosing Tech Pratham was a life-changing decision for me."
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Ajay Kumar Verma
2 months ago
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Google Review
"I enrolled in the Data Analytics & Generative AI course at Tech Pratham and had a great learning experience. The curriculum is industry-relevant, and the trainers explain concepts clearly. The practical projects and tools like Python, SQL, Power BI, and AI models were especially helpful."
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Shivshankar Singh
2 months ago
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Google Review
"I had a decent experience with Tech Pratham. The course content was strong, but there were a few delays in project support and doubt sessions. Faculty was knowledgeable, though response time could be improved. Overall, a good place to learn if you're patient and proactive."
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Laxman Thakur
2 months ago
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Google Review
"I recently completed the Workday certification from Tech Pratham, and I must say it's one of the best IT training institutes in India. The trainers were industry experts, and the content was up-to-date. Highly recommend it for anyone serious about their tech career!"
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S Vall
2 months ago
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Google Review
"The sessions were very well-structured, covering both the functional and technical aspects in a clear and practical way. The trainer was incredibly knowledgeable, patient, and always willing to answer questions with real-world examples. The hands-on exercises helped me build confidence in navigating Workday."
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Abdur Razzak Shaikh
2 months ago
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Google Review
"I joined TechPratham three months ago for the Odoo ERP course, and my experience so far has been excellent. The faculty is highly knowledgeable and supportive. They focus on practical learning by providing real-time projects, which has really helped me understand industry requirements."
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Panchsheel Gautam
a month ago
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Google Review
"Tech Pratham is very well planned and organised. The staff takes keen interest in parting the knowledge. Also the staff very hardworking and meticulous. I have gained a lot from tech Pratham. I wish all the luck to the tech Pratham for their good work."
Frequently Asked Questions (FAQs)

Do I need programming experience to join this course?

You don't need to know how to program before. We start with Excel modules that are easy for beginners and work our way up to SQL and Python, making sure that both beginners and professionals can learn easily.

Who should take this course?

Students or recent graduates with an interest in analytics Professionals in the workforce looking to transition into data analytics Managers, engineers, or business analysts seeking to advance their careers Anyone interested in working with insights and data

Do I need coding experience to join?

No. Coding experience is not required, but having a basic understanding of computers and Excel is beneficial. Before advancing to Python, SQL, or R, the training typically begins with beginner-friendly tools.

What are the prerequisites?

Simple mathematics and reasoning familiarity with Google Sheets and Excel spreadsheets A desire to solve problems and make decisions based on data

Which tools and technologies will I learn?

The majority of certification programs in data analytics cover: Excel can be used for pivot tables and rapid data analysis. SQL is used to query databases. Python/R: for basic machine learning, data wrangling, and visualization Power BI/Tableau: for dashboards and data visualization

What skills will I gain by the end?

Data preparation and cleaning Analysis of Exploratory Data (EDA) Storytelling and data visualization SQL querying Analytics using machine learning and basic statistics Building a dashboard for business intelligence

How long is the course?

Usually lasting 4–6 weeks (fast-track) or 6–12 weeks (part-time), the length varies depending on the institute. Additionally, some institutions provide online or weekend batches.

Will I get a certificate after completing the training?

Indeed. A certificate of course completion is offered by the institutions. Some also help you get ready for international certifications (such as the Google Data Analytics Professional Certificate, Tableau, or Microsoft Power BI).

What career opportunities are available after this course?

Reporting analyst, data analyst, business intelligence analyst, and junior data scientist (with advanced learning) Expert in MIS/Data Reporting

What is the average salary for a Data Analyst in India?

In India, entry-level data analysts make between β‚Ή3 and β‚Ή5 LPA, while seasoned experts can make between β‚Ή8 and 15 LPA+, depending on their abilities and resources.

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