The Data Analyst Profession: from scratch to Employment
- Job guarantee
- From scratch
- 1-1 mentorship
Data Analyst from Scratch to employment
Start work in IT as Data Analyst in 6 Months
- Earn upto 6-15 LPA
- From scratch with 1-1 mentorship.
- 150+job openings including referrals and WFH options.
- Globally Valid Certificate,HeadQuarters in Malte.
- 100% job Guarantee or else refund of the 50% fees .
About Data Analyst
Data Science is one of the most in-demand professions of the 21st century
What does a Data Analyst do?
A Data analyst reviews data to identify key insights into a business’s customers and ways the data can be used to solve problems. They also communicate this information to company leadership and other stakeholders.
What does a Data Scientist do?
A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where statistical analysis is performed to gain actionable insights.
Processes and interprets
Unstructured Data
Suggests how to optimize
Diverse business processes
Visualizes
the Data and Provides Insights
The coming 3 years from 2023-25 is a golden opportunity to advance your skills and work as a Data Analyst/Data Scientist professionally!We will have millions of job opportunities
Great news for the IT aspirants
- Join Coding Pact Professional Data Analyst Course & avail one on one Mentorship!
- 100% job Guarantee or else refund of the 50% fees .
- 1-1 Mentorship
- Globally Valid Data Analyst Nano Degree
- Internship Certificate
- 100% Job Guarantee Program
- 20+ projects
- Life time access to the course and certificate
- 50% of the Money Back Guarantee if you are not placed
- 1-1 dedicated mentorship
- 10+ tools and technologies
- 1000+ assignments
Why Data Analytics?
Intense Demand
Companies are spending a lot of money on data analytics and specialists who can handle these procedures because the world is entirely data-driven.
Comparable pay
A fresher's annual pay is typically around INR 6 LPA to 12 LPA and can get upto 36 LPA
Entry with any background
Big data is a multidisciplinary field that involves collaboration between people with various backgrounds.
Job requirements
Possibility of employment with major businesses both in India and abroad
Demand is really high
For business to make the best judgements, data analysts are required.
This course is for you if:
You do not have coding experience, but want to get a quick start in IT career
You are a fresher and seeking some real-world experience in IT world
You want to get real skills, and not just a certificate
How It works
Golden opportunity to upskill yourself & become a professional Data Analyst in 2023!
How does the program work?
You will become a part of a Simulator
Access 1500+ assignments, 30+ capstone projects and real business cases developed by industry experts from companies like Amazon, Deloitte, HCL, Philips etc.,
2 live sessions a week
Every Saturday and Sunday,we conduct 2 lives classes for 3 hours
1 on 1 Mentorship
You can connect with my mentors every day from 12 PM to 8 PM
What Is the Program?
The Data Scientist Masters program is a 9 Months online Live Program.
What will I learn ?
Data Analyst Nano Degree includes
- Google sheets
- SQL
- Statistics
- Power BI
- Python
Choose any one of the below Specializations
1.Artificial Intelligence
2.Machine Learning
3.Deep Learning
4.Natural Language Processing
Job Opportunities in IT Sector
Data Analyst Nano Degree
This is the most common role for someone with a data analyst certification. A data analyst typically works with data to help organizations make informed decisions. They use statistical methods to analyze data, create reports, and visualize data to identify trends and patterns.
A business intelligence analyst is responsible for analyzing data to help organizations make strategic decisions. They create reports and dashboards that help managers and executives understand trends in the market, customer behavior, and other key performance indicators.
A data scientist uses advanced statistical methods and machine learning techniques to analyze large datasets. They are responsible for creating predictive models that help organizations make data-driven decisions.
A marketing analyst analyzes data related to marketing campaigns to understand their effectiveness. They use data to identify target audiences, measure the success of marketing campaigns, and make recommendations for future marketing efforts.
A financial analyst uses data to create financial models that help organizations make informed decisions about investments, budgeting, and other financial matters.
An operations analyst uses data to identify areas of improvement in an organization’s processes. They analyze data related to supply chain, inventory management, and other operations to help organizations optimize their processes.
Data Scientist Masters Degree
A data scientist is responsible for analyzing large datasets using machine learning and statistical methods to extract insights and predict future trends. They work with complex data models and algorithms to create predictive models, algorithms, and data visualizations.
A machine learning engineer creates and deploys machine learning models that help organizations automate and optimize their processes. They are responsible for developing and implementing algorithms that analyze data and make predictions.
A data engineer designs, develops, and maintains the infrastructure required for processing and storing large datasets. They are responsible for building and maintaining data pipelines that allow data to be extracted from various sources and transformed into a usable format.
A business intelligence analyst analyzes data to help organizations make strategic decisions. They create reports and dashboards that help managers and executives understand trends in the market, customer behavior, and other key performance indicators.
A data analytics manager oversees a team of data analysts and data scientists. They are responsible for developing and implementing strategies that help organizations make data-driven decisions.
A big data engineer designs and manages the infrastructure required for processing and storing large datasets. They work with tools like Hadoop and Spark to analyze and process large datasets.
10 Reasons to Start your Data Science Journey Now at Coding Pact
- India's Best Renowned Faculty
- International Recognition
- High-End Curriculum
- Segregated Programs
- Paramount Online Infrastructure
- Internship Opportunity
- Unparalleled Placement Support
- Excellence Scholarships
- Coding Pact Mettle
- Alumni Connect
Syllabus
| Module 1. Basics | |
| 1 | Basics |
| 2 | Preparation |
| 3 | Formatting |
| 4 | Calculation |
| 5 | Automate |
| Module 2. Functions | |
| 6 | IF |
| 7 | VLOOKUP |
| 8 | COUNTIF |
| 9 | COUNTIFS |
| 10 | SUMIF |
| 11 | SUMIFS |
| Module 3. Pivot tables and dashboards | |
| 12 | Introduction to Pivot Tables |
| 13 | Analyzing data using pivot table |
| 14 | Putting it all together |
| Module 1. Operators and Queries | |
| 1 | Introduction to SQL and its terminology |
| 2 | Basics |
| 3 | Working with Operators |
| 4 | Working with Strings & Datetime |
| 5 | Mastering complex SQL Queries with basic statements |
| Module 2. Advanced Queries | |
| 6 | Aggregate functions |
| 7 | HAVING clause |
| 8 | SQL Joins |
| 9 | Sub Queries |
| Module 3. Advanced functions | |
| 10 | Windows functions |
| 11 | CONTROL FLOW FUNCTIONS |
| 12 | HANDLING NULL VALUES |
| 13 | DATABASE NORMALIZATION |
| Module 1. Basics | |
| 1 | Intro to statistics |
| 2 | Central tendency, variance |
| 3 | Inferential Statistics |
| 4 | Types of Probability Distribution |
| Module 2. Data and hypothesis | |
| 5 | Exploratory data analysis |
| 6 | Data Preprocessing |
| 7 | Hypothesis testing (parametric tests) |
| 8 | Chi square test and 1 way ANOVA |
| Module 1. Setup and dashboards | |
| 1 | Introduction to Power BI |
| 2 | Connecting to data sources and Creating basic charts and visuals |
| 3 | Cleansing data with Query Editor |
| 4 | Creating Report by combining all visuals |
| 5 | Types of Visuals in Power BI |
| 6 | Managing Relationships between Tables in Power BI |
| 7 | Addition of New columns using Power Query |
| 8 | Transforming Columns in Query Editor |
| Module 2. Modeling and Optimization | |
| 9 | Modeling and Optimization |
| 10 | Customisations |
| 11 | Interactions |
| 12 | Introduction to DAX |
| Module 1. Operators and functions | |
| 1 | Introduction |
| 2 | Installation |
| 3 | Basic operators |
| 4 | Brief on Jupyter notebook |
| 5 | Data types, variables, and Numbers |
| 6 | Strings |
| 7 | List |
| 8 | Conditional statements if/else |
| 9 | Looping |
| 10 | Functions |
| Module 2. Arrays | |
| 1 | Introduction on Numpy |
| 2 | Creating arrays |
| 3 | Indexing arrays |
| 4 | Array Transposition |
| 5 | Shape manipulation |
| 6 | Conditional Selection |
| 7 | Array Operations |
| 8 | Broadcasting |
| Module 3. Datasets and dataframes | |
| 1 | Introduction to pandas |
| 2 | Reading local data set |
| 3 | How to read data files from pandas |
| 4 | How to write data using Pandas |
| 5 | Creating dataframe |
| 6 | Playing with Rows and columns of dataframe |
| 7 | Filters and operations using dataframe |
| 8 | Handling missing values using Pandas |
| 9 | Usage of apply function in pandas |
| 10 | Aggregate data in Pandas |
| 11 | Merge operation on dataframes |
| Module 4. Plots and charts | |
| 1 | Introduction to Matplotlib |
| 2 | Basics of Matplotlib figure |
| 3 | Creating Line Plots |
| 4 | Adding texts to plots |
| 5 | Adding legend |
| 6 | Adding labels |
| 7 | Applying different styles |
| 8 | Subplots |
| 9 | Scatter Plot |
| 10 | Bar chart |
| 11 | Pie Chart |
| 12 | Histogram |
| 13 | Heat map |
| 14 | Plotting Curves |
| 15 | Brief on visualization python libraries |
| 1 | Artificial Intelligence |
| 2 | Machine Learning |
| 3 | Deep Learning |
| 4 | Natural Language Processing |
- Resume Preparation.
- LinkedIn Enhancement
- Mock Calls
- Interview Question Bank
- 300+ job openings through Hirist and other job portals
certificates
Tuition Fees
Coding Pact will give you the best EMI plans like 6,9,12 Months of No cost EMI which can be afforded
Choose Interest – Free Installment & Pay
Rs.12500/- per month
For 12 Months!**
**Arrange EMI in one of our partner banks
One Time Payment Is:
Get extra 10* discount on the price
Pay less if you pay in one payment
Sale Offer
Rs.12500/- month
Rs.9600/-month
(6/9/12 months no cost EMI)
Register before mid-night
Choose your enrollment package
Data Science Nano Degree
- Resume and LinkedIn Enhancement
- Mock Calls and Interview Question Bank
- Accounts in LinkedIn,Hirist,Github
- 200 + Job Openings and referrals
- Life time placement Assistance till you get placed
Data Science Master's Degree
- Resume and LinkedIn Enhancement
- Mock Calls and Interview Question Bank
- Accounts in LinkedIn,Hirist,Github
- 200 + Job Openings and referrals
- Job Guarantee in 180 days after course completion or else refund
Get in touch with us
Address
PLOT NO.29,SY NO.41/11,MATHA BHUVANESWARI SOCIETY,MADHAPUR, HYDERABAD TG 500081 IN
Phone
+91 9000134298