Data Analytics With ML
Placement Assured Course
The "Data Analytics" program is an online, personalized course designed for beginners and intermediates. It provides dedicated support, continuous monitoring, and job assistance until placement. The course covers essential topics like Python, SQL, MySQL, Statistics, Machine Learning, bridging the gap between traditional education and industry demands. Through hands-on learning and real-world projects, students acquire practical skills that prepare them for successful careers in data domain.
Key Highlights
100+ Live Training on Weekends
50+ Hours of Live Doubt-Solving Support
50+ Hours of Live Personality Development
40+ Real-World Industry Projects
Internship Opportunities Up to 1 Year
Dedicated Expert Support for Every Student
On-Demand Career Guidance and Mentorship
Mock Interviews for Practice
Live Sessions with Industry Experts
Tailored and Personalized Training
Lifetime Dashboard Access
Access to Data Domain Community
Dedicated Platform for Blog Writing
Placement Within Program Duration
ABOUT Data Analytics With ML COURSE OVERVIEW
The Data Analytics program is a comprehensive 6-month online course tailored for both beginners and intermediates looking to master the skills needed for a successful career in data analytics. This program covers key topics such as Python, SQL, MySQL, Statistics, Machine Learning, and Data Analytics, offering over 150+ hours of live, interactive sessions along with 50+ hours of doubt-solving support to ensure personalized learning.
In addition to technical skills, the program also includes live personality development training to boost both technical and soft skills, ensuring you are well-prepared for the professional world. With 40+ real-world industry projects, you’ll gain practical insights and hands-on experience, helping you build a strong portfolio.
The course also provides an internship opportunity for up to 1 year, giving you valuable real-world exposure to apply what you’ve learned and enhance your industry expertise. Tailored career mentorship, monthly mock interviews, and live sessions with industry experts ensure you are job-ready by the end of the course.
As a student, you'll receive lifetime access to the course dashboard and continuous support from a thriving data science community, keeping you up-to-date with the latest trends and advancements. This program bridges the gap between education and industry demands, giving you the tools to succeed in the competitive data analytics job market.
Turn Your Ambitions Into Achievements!
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The scope of Data Analytics is vast and continues to grow as businesses and industries rely on data-driven insights for decision-making. With the increasing importance of big data and the advancement of technologies, there is a high demand for skilled data analysts, data scientists, and business analysts. This demand spans across sectors like healthcare, finance, retail, manufacturing, telecommunications, and more. The job market offers numerous opportunities for professionals skilled in data analysis, machine learning, and statistical modeling.
Data Analytics is transforming industries by helping companies make informed decisions, optimize processes, and improve performance. For instance:
- Healthcare: Optimizing patient care, predicting disease patterns, and streamlining operations.
- Finance: Enhancing risk management, fraud detection, and financial forecasting.
- Retail: Personalizing customer experiences and optimizing supply chain management.
- Manufacturing: Predictive maintenance, quality control, and process optimization.
- Telecommunications: Customer segmentation and network optimization.
The broad application of data analytics in diverse sectors ensures its growing scope and relevance.
To succeed in Data Analytics, the following skills are highly sought after:
- Data wrangling and data visualization using tools like Excel, Power BI, and Tableau.
- Proficiency in SQL, MySQL, Python, and R for data processing and analysis.
- Statistical analysis, machine learning, and predictive modeling.
- Strong problem-solving abilities and the ability to interpret complex data for actionable insights.
Professionals with a combination of technical and business acumen are highly valued.
Data Analytics offers excellent career growth potential. Entry-level roles like Data Analyst can lead to positions such as Senior Data Analyst, Data Scientist, and eventually Data Engineer or Chief Data Officer. As businesses place more importance on data-driven decisions, the need for experienced professionals continues to rise, offering lucrative opportunities for advancement.
Data Analytics professionals are in demand across various sectors, including:
- Tech companies (Google, Facebook, Amazon)
- Financial services (banks, insurance companies, fintech)
- Healthcare (hospitals, healthcare providers, pharmaceutical companies)
- Retail and E-commerce (Walmart, Target, eBay)
- Manufacturing (automotive, consumer goods)
- Telecommunications (Verizon, AT&T, Vodafone)
- Consulting firms (Deloitte, McKinsey, EY)
- Startups and SMBs in all sectors looking to leverage data to improve operations and decision-making.
The scope of Data Analytics is immense and rapidly expanding as businesses increasingly depend on data-driven insights for strategic decision-making. With the rise of big data and technological advancements, the demand for skilled data analysts and business analysts is at an all-time high. This demand spans industries such as healthcare, finance, retail, manufacturing, telecommunications, and many others.
Data analytics is revolutionizing industries by enabling data-driven decision-making, optimizing operations, and enhancing customer experiences. In healthcare, it improves patient care and diagnoses; in finance, it aids fraud detection and risk management; in retail, it personalizes customer experiences; and in manufacturing, it boosts efficiency through predictive maintenance. Across sectors, data analytics drives innovation, reduces costs, and creates competitive advantages.
In data analytics, key in-demand skills include proficiency in MySQL and Python, expertise in data visualization tools like Power BI and Looker Studio, strong statistical knowledge, familiarity with big data tools, and the ability to think critically and communicate effectively. Knowledge of machine learning is also a valuable addition.
Data analytics provides excellent career growth, allowing progression from entry-level roles such as Data Analyst, Business Analyst, and Senior Analyst to specialized positions like Data Specialist. Professionals can advance by specializing in different industries and technologies for continued growth.
This course offers personalized training, interview preparation from day one, real-time student support, placement assistance throughout the course, monthly mock interviews, mentorship, and more, ensuring a comprehensive and effective learning journey.
Vijay Narayan Singh
FounderWith 11+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 7+ years in educating people and helping them to make a career transition.
Aman Chauhan
Data Scientist At skilledUpData Science Expert with over 2 years of teaching experience, specializing in Data Science, Data Analytics, and Business Analytics. Proficient in MySQL, Data Visualization, Big Data, Python, Statistics, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Artificial Intelligence (AI), among other advanced areas.
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Rahul Kumar
Data Analyst At GenpactWith 8+ years of extensive experience as a Data Scientist, Data Analyst, and Business Analyst, I bring a unique blend of technical expertise, business insight, critical analysis, and decision-making. I have worked across various products and categories and have 4+ years of experience educating and guiding individuals through successful career transitions.
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This Course Fee:
Rs. 20,000.00
Rs. 20,000.0040,000.00
Course includes:
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Students Enrolled
10000+
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Duration
6 Months
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Start Date
2025-03-02
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Language
Hinglish
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Course Type
Online
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Internship
Up to 12 Months
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Certifications
Yes
Secure Payment:
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the At Learning.
Enquiry
Meet the Data Analytics With ML Training Mentors
With 11+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 7+ years in educating people and helping them to make a career transition.
Data Science Expert with over 2 years of teaching experience, specializing in Data Science, Data Analytics, and Business Analytics. Proficient in MySQL, Data Visualization, Big Data, Python, Statistics, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Artificial Intelligence (AI), among other advanced areas.
With 8+ years of extensive experience as a Data Scientist, Data Analyst, and Business Analyst, I bring a unique blend of technical expertise, business insight, critical analysis, and decision-making. I have worked across various products and categories and have 4+ years of experience educating and guiding individuals through successful career transitions.
What role does a Data Analytics With ML play ?
Data Analyst
Collects, cleans, and analyzes large datasets to identify patterns, trends, and actionable insights, creating comprehensive reports to support informed decision-making and drive business success.
Business Analyst
Develops and maintains Power BI dashboards to visualize key metrics, analyze business performance, and deliver insights that align with strategic goals and operational improvement initiatives.
Data Specialist
Designs interactive dashboards and compelling data visualizations using Power BI to effectively communicate complex information, enabling stakeholders to understand insights and make data-driven decisions.
Fees
- Select your ideal time slots based on your availability and enjoy immersive, personalized training crafted specifically to suit your needs!
Rs. 20000.00
Enroll Now
Course Curriculum
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Introduction to Python
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Advanced Python Programming for Analytics
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MongoDB for Managing Semi-Structured and Unstructured Data
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Foundational and Advanced Statistics for Data Insights
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NumPy for Scientific Data Analysis
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Pandas for Data Cleaning and Transformation
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Visual Analytics with Matplotlib
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Advanced Visualizations with Seaborn
Data Analytics With ML Project
Sales Data Analysis
Analyze global sales data using pivot tables, filters, and VLOOKUP to identify trends, measure performance, and optimize business strategies effectively.
Customer Feedback Processing
Clean and analyze customer survey responses using Excel functions to extract actionable insights and improve service quality through data-driven decisions.
Expense Tracking Dashboard
Design interactive dashboards in Excel for tracking expenses, monitoring budgets, and generating financial summaries with automated visualizations and reports.
Employee Productivity Analysis
Develop automated reports using Excel tools to evaluate employee performance, identify trends, and enhance workforce efficiency and engagement strategies.
Retail Sales Dashboard
Create engaging dashboards with Looker Studio to visualize retail sales trends, monitor key metrics, and drive data-informed decision-making for business growth.
Social Media Engagement Analysis
Develop interactive dashboards in Looker Studio to track and analyze social media engagement, uncover trends, and optimize marketing strategies effectively.
Data Analytics With ML Certification Course Reviews
“ skilledUp provided hands-on training in MySQL, Python, and Power BI. Thanks to the mentorship and placement support, I secured a role as a Data Analyst at Genpact.”
“ AT Learnning structured curriculum and mentorship transformed my career. I landed a Data Analyst role at Accenture with a 100% salary hike. Thank you AT Learnning & Team!”
“ The course was comprehensive and easy to follow. At Learning placement support ensured I joined TCS as a Reporting Analyst. Highly recommended! Thank you!!”
“ AT Learning course gave me the skills to analyze data and build dashboards. Their placement support helped me secure a BI Analyst position at Capgemini.”
Our Alumni: Leaders, Innovators, and Achievers
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Frequently Asked Questions (FAQs)
The course covers MySQL, BigQuery, Python Programming, Power BI, Data Visualization, Statistics, Pandas, NumPy, Matplotlib, Seaborn, with a focus on essential tools and techniques for data analysis and visualization, along with Machine Learning.
No, prior experience is not required. This course is designed for beginners, and you'll be guided step-by-step through each topic.
The course lasts for 6 months and is delivered through live, instructor-led sessions, along with pre-recorded content. You can attend sessions on weekends.
The course includes 40+ real-world industry projects and internship opportunities for up to 1 year, giving you hands-on experience in applying data analysis techniques.
You will receive career guidance, mock interviews, resume building, and placement assistance throughout the course to help you secure a job in the data analytics field.
Yes, you will have lifetime access to the course materials and the community dashboard for continued learning and support.
To apply, simply visit the course registration page and sign up. If you miss a live session, you will have access to the recording to catch up on the missed content.
This course is open to graduates, final-year students, working professionals, and both tech and non-tech individuals who are eager to build a career in the tech and data analytics domain. If you're looking to transition into the tech industry or enhance your skills, this course is for you!